Systematic Review and Classification on Video Surveillance Systems

Systematic Review and Classification on Video Surveillance Systems

Автор: Fereshteh Falah Chamasemani, Lilly Suriani Affendey

Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs

Статья в выпуске: 7 Vol. 5, 2013 года.

Бесплатный доступ

Recently, various conferences and journals have published articles related to Video Surveillance Systems, indicating researchers’ attention. The goal of this review is to examine the latest works were published in journals, propose a new classification framework of video surveillance systems and investigate each aspect of this classification framework. This paper provides a comprehensive and systematic literature review of video surveillance systems from 2010-2011, extracted from six online digital libraries using article’s title and keyword. The proposed classification framework is expanded on the basis of architecture of video surveillance systems, which is composed of six layers: Concept and Foundation Layer, Network Infrastructure Layer, Processing Layer, Communication Layer, Application Layer, and User Interaction Layer. This review shows, although many publication and research focus on real-time aspect of the challenge, only few researches have investigated the deployment of extracted and retrieved information for forensic video surveillance.

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Systematic Review, Literature Reviews, Video Surveillance Systems, Classification Framework

Короткий адрес: https://sciup.org/15011929

IDR: 15011929

Список литературы Systematic Review and Classification on Video Surveillance Systems

  • Webster, W.R., Töpfer, E., Klauser, F.R., Raab, C.D. Revisiting the surveillance camera revolution: Issues of governance and public policy. Introduction to part one of the Special issue. Information Polity. 2011, 16, 297–301.
  • Agustina, J.R., Clavell, G.G. The impact of CCTV on fundamental rights and crime prevention strategies: The case of the Catalan Control Commission of Video surveillance Devices. computer law & security review. 2011, 27, 168-74.
  • Bai, Y.-W., Xie, Z.-L., Li, Z.-H. Design and Implementation of a Home Embedded Surveillance System with Ultra-Low Alert Power. IEEE Transactions on Consumer Electronics. 2011, 75, 153-9.
  • Loomans, M.J.H., J.Koeleman, C., With, P.H.N.d. Low-Complexity Wavelet-Based Scalable Image & Video Coding for Home-Use Surveillance. IEEE Transactions on Consumer Electronics. 2011, 57, 507-15.
  • Rougier, C., Meunier, J., St-Arnaud, A., Rousseau, J. Robust Video Surveillance for Fall Detection Based on Human Shape Deformation. IEEE Transactions on Circuits and Systems for Video Technology. 2011, 21, 611-22.
  • Jeong, J., Gu, Y., He, T., Du, D.H.C. Virtual Scanning Algorithm for Road Network Surveillance. IEEE Transactions On Parallel And Distributed Systems. 2010, 21, 1734-49.
  • Leotta, M.J., Mundy, J.L. Vehicle Surveillance with a Generic, Adaptive, 3D Vehicle M odel. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011, 33, 1457-69.
  • Su, P.-C., Wu, C.-Y. A Joint Watermarking and ROI Coding Scheme for Annotating Traffic Surveillance Videos. EURASIP Journal on Advances in Signal Processing. 2010, 2010, 1-14.
  • Sumalee, A., Zhong, R.X., Pan, T.L., Szeto, W.Y. Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment. Transportation Research Part B. 2011, 45, 507-5033.
  • Yuan, G., Zhang, X., Yao, Q., Wang, K. Hierarchical and Modular Surveillance Systems in ITS IEEE Intelligent Systems. 2011, 26, 10-5.
  • Luo, X., Wu, Y., Huang, Y., Zhang, J. Vehicle flow detection in real-time airborne traffic surveillance system. Transactions of the Institute of Measurement and Control. 2011, 33, 880–97.
  • Monperrus, M., Long, B., Champeau, J., Hoeltzener, B., Marchalot, G., Jézéquel, J.M. Model-Driven Architecture of a Maritime Surveillance System Simulator. Systems Engineering. 2010, 13, 290-7.
  • Szpak, Z.L., Tapamo, J.R. Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set. Expert Systems with Applications. 2011, 38, 6669–80.
  • Conte, D., Foggia, P., Percannella, G., Tufano, F., Vento, M. A Method for Counting Moving People in Video Surveillance Videos. EURASIP Journal on Advances in Signal Processing. 2010, 2010, 1-10.
  • Takahashi, M., Fujii, M., Shibata, M., Satoh, S.i. Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences. EURASIP Journal on Advances in Signal Processing. 2010, 2010, 1-14.
  • Amato, A., Lecce, V.D. Semantic Classification of Human Behaviors in Video Surveillance Systems. Journal WSEAS Transactions on Computers archive. 2011, 10, 343-52
  • Heilmann, E. Video surveillance and security policy in France: From regulation to widespread acceptance. Information Polity. 2011, 16, 369-77.
  • Räty, T.D. Survey on Contemporary Remote Surveillance Systems for Public Safety. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews. 2010, 40, 493-515.
  • Paola, D.D., Milella, A., Cicirelli, G., Distante, A. An Autonomous Mobile Robotic System for Surveillance of Indoor Environments. International Journal of Advanced Robotic Systems. 2010, 7, 19-26.
  • Zhang, J., Song, G., Qiao, G., Meng, T., Sun, H. An Indoor Security System with a Jumping Robot as the Surveillance Terminal IEEE Transactions on Consumer Electronics. 2011, 57.
  • Xu, Y., Song, D. Systems and algorithms for autonomous and scalable crowd surveillance using robotic PTZ cameras assisted by a wide-angle camera. Auton Robot. 2010, 29, 53–66.
  • Kosar, R., Bojaxhiu, I., Onur, E., Ersoy, C. Lifetime extension for surveillance wireless sensor networks with intelligent redeployment Journal of Network and Computer Applications 2011, 34, 1784 –93.
  • Zhang, L., Zhang, H., Shen, H., Li, P. A super-resolution reconstructioSn algorithm for surveillance images. Signal Processing. 2010, 90, 848 –59.
  • Ebden, M., Roberts, S. Graph marginalization for rapid assignment in wide-area surveillance. Ad Hoc Networks. 2011, 9, 180–8.
  • Tao, R., Feng, Y., Wang, Y. Theoretical and experimental study of a signal feature extraction algorithm for measuring propeller acceleration in a port surveillance system. IET Radar Sonar Navigation. 2011, 5, 172-81.
  • Yao, Y., Chen, C.-H., Abidi, B., Page, D., Koschan, A., Abidi, M. Can You See Me Now? Sensor Positioning for Automated and Persistent Surveillance. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics. 2010, 40, 101-15.
  • Zhu, J., Lao, Y., Zheng, Y.F. Object Tracking in Structured Environments for Video Surveillance Applications. IEEE Transactions on Circuits and Systems for Video Technology. 2010, 20, 223-35.
  • Varcheie, P.D.Z., Bilodeau, G.-A.a. Adaptive Fuzzy Pa rticle Filter Tracker for a PTZ Camera in an IP Surveillance System. IEEE Transactions on Instrumentation and Measurment. 2011, 60, 354-71.
  • Kassas, Z.M., Özgüner, Ü. A Nonlinear Filter Coupled With Hospitability and Synthetic Inclination Maps for In-Surveillance and Out-of-Surveillance Tracking. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews. 2010, 40, 87-97.
  • Musik, C. The thinking eye is only half the story: High-level semantic video surveillance. Information Polity 2011, 16, 339–53.
  • Reddy, V., Sanderson, C., Lovell, B.C. A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-14.
  • Verdant, A., Villard, P., Dupret, A., Mathias, H. Three Novell Analog-Domain Algorithms for Motion Detection in Video Surveillance. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-13.
  • Benabbas, Y., Ihaddadene, N., Djeraba, C. Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-15.
  • Gascueña, J.M., Fernández-Caballero, A., López, M.T., Delgado, A.E. Knowledge modeling through computational agents: application to surveillance systems. Expert Systems. 2011, 28, 306-23.
  • Chen, C.-H., Yao, Y., Koschan, A., Abidi, M. A novel performance evaluation paradigm for automated video surveillance systems. Central European Journal of Computer Science. 2011, 1, 430-41.
  • Fernández, C., Baiget, P., Roca, F.X., Gonzàlez, J. Determining the best suited semantic events for cognitive surveillance. Expert Systems with Applications. 2011, 38, 4068–79.
  • Fernández, C., Baiget, P., Roca, F.X., Gonzàlez, J. Augmenting video surveillance footage with virtual agents for incremental event evaluation. Pattern Recognition Letters. 2011, 32, 878–89.
  • Liu, X., Lin, L., Yan, S., Jin, H., Tao, W. Integrating Spatio-Temporal Context with Multiview Representation for Object Recognition in Visual Surveillance. IEEE Transactions on Circuits And Systems for Video Technology. 2011, 21, 393-407.
  • Thomas, R.S., Capshaw, N.C., Franken, P.M. A Framework for system of systems Evaluation Within an Airborne intelligence, surveillance, and reconnaissance Environment. A Publication of the Defense Acquisition University. 2010, 436-49.
  • Vezzani, R., Cucchiara, R. Video Surveillance Online Repository (ViSOR): an integrated framework. Multimed Tools Appl. 2010, 50, 359-80.
  • Huang, K., Tan, T. Vs-star: A visual interpretation system for visual surveillance. Pattern Recognition Letters. 2010, 31, 2265–85.
  • Venetianer, P.L., Deng, H. Performance evaluation of an intelligent video surveillance system – A case study. Computer Vision and Image Understanding. 2010, 114, 1292–302.
  • Schneiderman, R. Trends in Video Surveillance Give DSP an Apps Boost. IEEE Signal Processing Magazine. 2010, 6.
  • MARTIN, B. Opposing Surveillance. IEEE Technology and Society Magazine. 2010, 26-32.
  • Cristani, M., Farenzena, M., Bloisi, D., Murino, V. Background Subtraction for Automated Multisensor Surveillance: Comprehensive Review. EURASIP Journal on Advances in Signal Processing. 2010, 2010, 1-24.
  • Yao, Y., Chen, C.-H., Koschan, A., Abidi, M. Adaptive online camera coordination for multi-camera multi-target surveillance. Computer Vision and Image Understanding. 2010, 114, 463–74.
  • Shiang, H.-P., Schaar, M.v.d. Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks. IEEE Transactions on Circuits and Systems for Video Technology. 2010, 20, 505-17.
  • Woo, H., Jung, Y.M., Kim, J.-G., Seo, J.K. Environmentally Robust Motion Detection for Video Surveillance. IEEE Transactions on Image Processing. 2011, 19, 2838-48.
  • Brown, G., Carlyle, M., Abdul-Ghaffar, A., Kline, J. A Defender-Attacker Optimization of Port Radar Surveillance. Naval Research Logistics. 2011, 58, 223-35.
  • Tsang, P.W.M., Yung, K.N., So, K.H., Cheung, K.W.K. A Low Complexity Solution for Integrating Video Surveillance and RFID in Remote Scene Monitoring. Microwave and Optical Technology Letters. 2010, 52, 775-9.
  • Donmez, M.Y., Kosar, R., Ersoy, C. An analytical approach to the deployment quality of surveillance wireless sensor networks considering the effect of jammers and coverage holes. Computer Networks. 2010, 54, 3449–66.
  • Megahed, M.H., Makrakis, P.D., Ying, B. SurvSec: A New Security Architecture for Reliable Network Recovery from Base Station Failure of Surveillance WSN. Procedia Computer Science. 2011, 5, 141–8.
  • Yordanov, R.S., Ralenekov, I.I. Mobile Visual Surveillance over GSM Network Annual Journal of Electronics. 2010, 2010, 184-7.
  • Atrey, P.K., Saddik, A.E., Kankanhalli, M.S. Effective multimedia surveillance using a human-centric approach. Multimed Tools Appl. 2011, 51, 697-721.
  • Mackay, M.D., Fenton, R.G., Benhabib, B. Multi-camera active surveillance of an articulated human form – An implementation strategy. Computer Vision and Image Understanding. 2011, 115, 1395–413.
  • Hsieh, Y.-C., Lee, Y.-C., You, P.-S. The optimal locations of surveillance cameras on straight lanes. Expert Systems with Applications. 2011, 38, 5416–22.
  • Huang, C.-M., Fu, L.-C. Multitarget Visual Tracking Based Effective Surveillance With Cooperation of Multiple Active Cameras. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics. 2011, 41, 234-47.
  • Pflugfelder, R., Bischof, H. Localization and Trajectory Reconstruction in Surveillance Cameras with Nonoverlapping Views. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2010, 32, 709-21.
  • Iosifidis, A., Mouroutsos, S.G., Gasteratos, A. A Hybrid Static/Active Video Surveillance System. International Journal of Optomechatronics. 2011, 5, 80–95.
  • S.Guo, T.He, M.F.Mokbel, J.A.Stankovic, T.F.Abdelzaher. On accurate and efficient statistical counting in sensror-based surveillancesystems. Pervasive and Mobile Computing. 2010, 6, 74-92.
  • Pham, C., Makhoul, A., Saadi, R. Risk-based adaptive scheduling in randomly deployed video sensor networks for critical surveillance applications. Journal of Network and Computer Applications. 2011, 34, 783 –95.
  • Li, X., Huang, H., Yu, X., Shu, W., Li, M., Wu, M.-Y. A new paradigm for urban surveillance with vehicular sensor networks. Computer Communications. 2011, 34, 1159–68.
  • Liu, H., Chu, X., Leung, Y.-W., Jia, X., Wan, P.-J. General Maximal Lifetime Sensor-Target Surveillance Problem and Its Solution. IEEE Transactions on Parallel and Distributed Systems. 2011, 22, 1757-65.
  • Kim, J.S., Yeom, D.H., Joo, Y.H. Fast and Robust Algorithm of Tracking Multiple Moving Objects for Intelligent Video Surveillance Systems. IEEE Transactions on Consumer Electronics. 2011, 57, 1165-70.
  • Grgic, M., Delac, K., Grgic, S. SCface – surveillance cameras face database. Multimed Tools Appl. 2011, 51.
  • Bang, H., Thollabandi, M., Kim, S., Lee, D.-S., Park, C.-S. Analysis of upstream link bandwidth utilization in GPON with integrated network surveillance. Photon Netw Commun. 2010, 20, 224-31.
  • Macias, E., Suarez, A., Chiti, F., Sacco, A., Fantacci, R. A Hierarchical Communication Architecture for Oceanic Surveillance Applications Sensors 2011, 11, 11343-56.
  • Bunruangses, M., Sunat, K., Mitatha, S., yupapin, P.P. Hybrid Surveillance System by Using Multi Frequency Bands Enhancement. Microwave and Optical Technology Letters. 2010, 52, 2154-8.
  • Hu, P., Tan, W.L., Wishart, R., Portmann, M., Indulska, J. MeshVision: an adaptive wireless mesh network video surveillance system. Multimedia Systems (2010). 2010, 16, 243-54.
  • Onur, E., Ersoy, C., Deliç, H., Akarun, L. Surveillance with wireless sensor networks in obstruction: Breach paths as watershed contours. Computer Networks. 2010, 54, 428–41.
  • Vallejo, D., Albusac, J., Castro-Schez, J.J., Glez-Morcillo, C., Jiménez, L. A multi-agent architecture for supporting distributed normality-based intelligent surveillance. Engineering Applications of Artificial Intelligence. 2011, 24, 325-40.
  • Castanedo, F., García, J., Patricio, M.A., Molina, J.M. Data fusion to improve trajectory tracking in a Cooperative Surveillance Multi-Agent Architecture. Information Fusion. 2010, 11, 243–55.
  • Dotu, I., Patricio, M.A., Berlanga, A., García, J., Molina, J.M. Boosting video tracking performance by means of Tabu Search in intelligent visual surveillance systems. J Heuristics. 2011, 17, 415–40.
  • Chang, X., Tan, R., Xing, G., Yuan, Z., Lu, C., Chen, Y., et al. Sensor Placement Algorithms for Fusion-Based Surveillance Networks. IEEE Transactions on Parallel and Distributed Systems. 2011, 22, 1407-14.
  • Wang, C.-C., Hsia, K.-H., Su, K.-L., Hsieh, Y.-C., Lin, C.-L. Application of a remote image surveillance system in a robotic weapon. Artif Life Robotics. 2010, 15, 284-90.
  • Wu, D., Ci, S., Luo, H., Ye, Y., Wang, H. Video Surveillance Over Wireless Sensor and Actuator Networks Using Active Cameras. IEEE Transactions on Automatic Control. 2011, 56, 2467-72.
  • Sohn, H., Neve, W.D., Ro, Y.M. Privacy Protection in Video Surveillance Systems: Analysis of Subband-Adaptive Scrambling in JPEG XR. IEEE Transactions on Circuits and Systems for Video Technology. 2011, 21, 170-7.
  • Li, Z., Liu, Y., Walker, R., Hayward, R., Zhang, J. Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform. Machine Vision and Applications. 2010, 21, 677–86.
  • Gurwicz, Y., Yehezkel, R., Lachover, B. Multiclass object classification for real-time video surveillance systems. Pattern Recognition Letters. 2011, 32, 805–15.
  • Huang, S.-C. An Advanced Motion Detection Algorithm with Video Quality Analysis for Video Surveillance Systems. IEEE Transactions on Circuits and Systems for Video Technology. 2011, 21, 1-14.
  • Bishop, A.N., Savkin, A.V., Pathirana, P.N. Vision-Based Target Tracking and Surveillance With Robust Set-Valued State Estimation. IEEE Signal Processing Letters. 2010, 17, 289-92.
  • Cheng, F.-C., Huang, S.-C., Ruan, S.-J. Scene Analysis for Object Detection in Advanced Surveillance Systems Using Laplacian Distribution Model. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews. 2011, 41, 589-98.
  • Huang, K., Tao, D., Yuan, Y., Li, X., Tan, T. Biologically Inspired Features for Scene Classification in Video Surveillance. IEEE TRANSACTIONS on Systems, Man, and Cybernetics—Part B: Cybernetics. 2011, 41, 307-13.
  • Celik, T., Kusetogullari, H. Solar-Powered Automated Road Surveillance System for Speed Violation Detection. IEEE Transactions on Industrial Electronics. 2010, 57, 3216-27.
  • Boyko, N., Turko, T., Boginski, V., Jeffcoat, D.E., Uryasev, S., Zrazhevsky, G., et al. Robust multi-sensor scheduling for multi-site surveillance. Journal of Combinatorial Optimization archive. 2011, 22, 35-51
  • Bales, M.R., Dana Forsthoefel, B.V., Wills, D.S., Wills, L.M. BigBackground-Based Illumination Compensation for Surveillance Video. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-22.
  • Cao, X., Wu, L., Rasheed, Z., Liu, H., Choe, T., Guo, F., et al. Automatic Geo -Registration for Port Surveillance. International Journal of Pattern Recognition and Artificial Intelligence. 2010, 24, 531-55.
  • Yuen, P.W., hardson, M.R. An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition. The Imaging Science Journal. 2010, 58, 241-53.
  • Jin, X., Goto, S. Encoder adaptab le difference detection for low power video compression in sur veillance system. Signal Processing: Image Communication. 2011, 26, 130 –42.
  • Soyak, E., Tsaftaris, S.A., Katsaggelos, A.K. Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance. IEEE Transactions on Circuits and Systems for Video Technology. 2011, 21, 1378-89.
  • Albusac, J., Vallejo, D., Castro-Schez, J.J., Jimenez-Linares, L. OCULUS surveillance system: Fuzzy on-line speed analysis from 2D images. Expert Systems with Applications. 2011, 38, 12791–806.
  • Denman, S., Lamb, T., Fookes, C., Chandran, V., Sridharan, S. Multi-spectral fusion for surveillance systems. Computers and Electrical Engineering. 2010, 36, 643–63.
  • Oca, V.M.D., Jeske, D.R., Zhang, Q., Rendon, C., Marvasti, M. A cusum change-point detection algorithm for non-stationary sequences with application to data network surveillance. The Journal of Systems and Software. 2010, 83, 1288–97.
  • SanMiguel, J.C., Martı´nez, J.M. Use of feedback strategies in the detection of events for video surveillance. IET Computer Vision. 2011, 5, 309 – 19.
  • Ran, Y., Zheng, Q., Chellappa, R., Strat, T.M. Applications of a Simple Characterization of Human Gait in Surveillance. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Cybernetics. 2010, 40, 1009-20.
  • Lin, W., Sun, M.-T., Poovendran, R., Zhang, Z. Group Event Detection with a Varying Number of Group Members for Video Surveillance. IEEE Transactions on Circuits and Systems for Video Technology. 2010, 20, 1057-67.
  • Piciarelli, C., Foresti, G.L. Surveillance- Oriented Event Detection in Video Streams. IEEE Intelligent Systems. 2011, 26, 32-41.
  • Louis, W., Plataniotis, K.N. Co-Occurrence of Local Binary Patterns Features for Frontal Face Detection in Surveillance Applications. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-17.
  • Eva, V., Matúš, P., Jozef, J., Anton, C. Surveillance System based on the Acoustic Events Detection. Journal of Electrical and Electronics Engineering. 2011, 4, 255-8.
  • Quast, K., Kaup, A. AUTO GMM-SAMT: An Automatic Object Tracking System for Video Surveillance in Traffic Scenarios. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-14.
  • Tung, F., S.Zelek, J., Clausi, D.A. Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. Image and Vision Computing. 2011, 29, 230–40.
  • Lu, X., Manduchi, R. Fast image motion segmentation for surveillance applications. Image and Vision Computing. 2011, 29, 104–16.
  • Cho, Y., Lim, S.O., Yang, H.S. Collaborative Occupancy Reasoning in Visual Sensor Network for Scalable Smart Video Surveillance IEEE Transactions on Consumer Electronics. 2010, 56, 1997-2003.
  • Robertson, N.M., Reid, I.D. Automatic Reasoning about Causal Events in Surveillance Video. EURASIP Journal on Image and Video Processing. 2010, 2011, 1-19.
  • Höferlin, B., Höferlin, M., Weiskopf, D., Heidemann, G. Information-based adaptive fast-forward for visual surveillance. Multimed Tools Appl. 2011, 55, 127-50.
  • Regazzoni, C.S., Cavallaro, A., Wu, Y., JanuszKonrad, Hampapur, A. Video Analytics for Surveillance: Theory and Practice. IEEE Signal Processing Magazine. 2010, 16-7.
  • Chao, G.-C., Tsai, Y.-P., Jeng, S.-K. Augmented 3-D Keyframe Extraction for Surveillance Videos. IEEE Transactions on Circuits and Systems for Video Technology. 2010, 20, 1395-408.
  • Thomas, V., Ray, A.K. Fuzzy Particle Filter for Video Surveillance. IEEE Transactions on Fuzzy Systems. 2011, 19, 937-45.
  • Sherrah, J., Ristic, B., Redding, N.J. Particle filter to track multiple people for visual surveillance. IET Computer Vision. 2011, 5, 192–200.
  • Sayed, M.S., Delva, J.G.R. An Efficient Intensity Correction Algorithm for High Definition Video Surveillance Applications. IEEE Transactions on Circuits and Systems for Video Technology. 2011, 21, 1622-163.
  • Dore, A., Pinasco, M., Ciardelli, L., Regazzoni, C. A bio-inspired system model for interactive surveillance applications. Journal of Ambient Intelligence and Smart Environments. 2011, 13, 147-63
  • Garcia-Sanchez, A.-J., Garcia-Sanchez, F., Garcia-Haro, J. Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops. Computers and Electronics in Agriculture. 2011, 75, 288–303.
  • Leu, J.-S., Tzeng, H.-J., Chen, C.-F., Lin, W.-H. Practical design and implementation of recognition assisted dynamic surveillance system. Computers and Electrical Engineering. 2011, 37, 1182–92.
  • Yuan, P.-H., Yang, K.-F., Tsai, W.-H. Real-Time Security Monitoring Around a Video Surveillance Vehicle With a Pair of Two-Camera Omni-Imaging Devices. IEEE Transactions on Vehicular Technology. 2011, 60, 3603-14.
  • Leykin, A., Hammoud, R. Pedestrian tracking by fusion of thermal-visible surveillance videos. Machine Vision a nd Applications. 2010, 21, 587–95.
  • Valera, M., Velastin, S.A., Elli, A., Ferryman, J. Environmentally Robust Motion Detection for Video Surveillance. IEEE Transactions on Circuits and Systems for Video Technology. 2010, 21, 1795-809.
  • Nasrollahi, K., Moeslund, T.B., Rahmati, M. Summarization of Surveillance Video Sequences Using Face Quality Assessment. International Journal of Image and Graphics. 2011, 11, 207–33.
  • Wright, D., Friedewald, M., Gutwirth, S., Langheinrich, M., Mordini, E., Bellanova, R., et al. Sorting out smart surveillance. Computer Law & Security review. 2010, 26, 343-54.
  • Ntalampiras, S., Potamitis, I., Fakotakis, N. Probabilistic Novelty Detection for Acoustic Surveillance Under Real-World Conditions. IEEE Transactions on Multimedia. 2011, 13, 713-9.
  • Leo, M., Spagnolo, P., D’Orazio, T., Mazzeo, P.L., Distante, A. Real-time smart surveillance using motion analysis. Expert Systems. 2011, 28.
  • Goffredo, M., Bouchrika, I., Carter, J.N., Nixon, M.S. Performance analysis for automated gait extraction and recognition in multi-camera surveillance. Multimed Tools Appl. 2010, 50, 75–94.
  • García-Rodríguez, J., García-Chamizo, J.M. Surveillance and human–computer interaction applications of self-growing models. Applied Soft Computing. 2011, 11, 4413–31.
  • Hu, W.-C., Yang, C.-Y., Huang, D.-Y. Robust real-time ship detection and tracking for visual surveillance of cage aquaculture. Journal of Visual Communication & Image Representation. 2010, 22, 543–56.
  • Huang, C.-T., Chen, K.S., Chang, T.-C. An application of DMADV methodology for increasing the yield rate of surveillance cameras. Microelectronics Reliability 2010, 50, 266–72.
  • Tian, Y., Feris, R.S., Liu, H., Hampapur, A., Sun, M.-T. Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews. 2011, 41, 565-76.
  • Fu, X., Luo, G., Peli, E. Telescope Aiming Point Tracking Method for Bioptic Driving Surveillance. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2010, 18, 628-36.
  • Kemna, S., Hamilton, M.J., Hughes, D.T., LePage, K.D. Adaptive autonomous underwater vehicles for littoral surveillance. Intel Serv Robotics. 2011, 4, 245–58.
  • Li, Z., Liu, Y., Walker, R., Hayward, R., Zhang, J. Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform. Machine Vision and Applications. 2010, 21, 677–86.
  • Ren, J., Xu, M., Orwell, J., Jones, G.A. Multi-camera video surveillance for real-time analysis and reconstruction of soccer games. Machine Vision a nd Applications. 2010, 21, 855-63.
  • Pantrigo, J.J., Hernández, J., Sánchez, A. Multiple and variable target visual tracking for video-surveillance applications. Pattern Recognition Letters. 2010, 31, 1577–90.
  • Zin, T.T., Tin, P., Hama, H., Toriu, a.T. Unattended Object Intelligent Analyzer for Consumer Video Surveillance IEEE Transactions on Consumer Electronics. 2011, 57, 549-57.
  • Kamgar-Parsi, B., Lawson, W., Kamgar-Parsi, B. Toward Development of a Face Recognition system for Watchlist Surveillance. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011, 33, 1925-37.
  • Cheng, H.-Y., Hsu, S.-H. Intelligent Highway Traffic Surveillance With Self-Diagnosis Abilities. IEEE Transactions on Intelligent Transportation Systems. 2011, 12, 1462-472.
  • Semertzidis, T., Dimitropoulos, K., Koutsia, A., Grammalidis, N. Video sensor network for real-time traffic monitorin g and surveillance. IET Intelligent Transport Systems. 2010, 4, 103-12.
  • Chen, Y.-L., Wu, B.-F., Huang, H.-Y., Fan, C.-J. A Real-Time Vision System for Nighttime Vehicle Detection a nd Traffic Surveillance. IEEE Transactions on Industrial Electronics. 2011, 58, 2030-44.
  • Wang, Y., Coppola, P., Tzimitsi, A., Papageorgiou, M., Nuzzolo, A. Real-Time Freeway Network Traffic Surveillance: Large-Scale Field-Testing Results in Southern Italy. IEEE Transactions on Intelligent Transportation Systems. 2011, 12, 548-62.
  • Roy, A., Gale, N., Hong, L. Automated traffic surveillance using fusion of Doppler radar an dvideo information. Mathematical and Computer Modelling. 2011, 54, 531-43.
  • Gualdi, G., Prati, A., Cucchiara, R.i. Contextual In for mation and Covariance Descriptors for People Surveillance: An Application for Safety of Construction Workers. EURASIP Journal on Image and Video Processing. 2011, 2011, 1-16.
  • Yuan, F. An integrated fire detection and suppression system based on widely available video surveillance. Machine Vision and Applications. 2010, 21, 941–8.
  • Şaykol, E., Güdükbay, U., Ulusoy, Ö. Scenario-based query processing for video-surveillance archives. Engineering Applications of Artificial Intelligence. 2010, 23, 331-45.
  • Haan, G.d., Piguillet, H., Post, F.H. Spatial Navigation for Context-Aware Video Surveillance. IEEE Computer Graphics and Applications. 2010, 30, 20-31.
  • Milosavljević, A., Dimitrijević, A., Rančić, D. GIS-augmented video surveillance. International Journal of Geographical Information Science. 2010, 24, 1415–33.
  • Castro, J.L., Delgado, M., Medina, J., Ruiz-Lozano, M.D. Intelligent surveillance system with integration of heterogeneous information for intrusion detection. Expert Systems with Applications. 2011, 38, 11182–92.
  • Gouaillier, V., Fleurant, A. Intelligent video surveillance: Promises and challenges technological and commercial intelligence report. CRIM and Technopole Defence and Security, 2009.
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