Optimization and Tracking of Vehicle Stable Features Using Vision Sensor in Outdoor Scenario

Автор: Kajal Sharma

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 8 vol.8, 2016 года.

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Detection and tracking of stable features in moving real time video sequences is one of the challenging task in vision science. Vision sensors are gaining importance due to its advantage of providing much information as compared to recent sensors such as laser, infrared, etc. for the design of real–time applications. In this paper, a novel method is proposed to obtain the features in the moving vehicles in outdoor scenes and the proposed method can track the moving vehicles with improved matched features which are stable during the span of time. Various experiments are conducted and the results show that features classification rates are higher and the proposed technique is compared with recent methods which show better detection performance.

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Vision Sensor, Image segmentation, Machine vision, Object recognition

Короткий адрес: https://sciup.org/15014892

IDR: 15014892

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