Research on human moving target tracking in surveillance video based on image recognition

Zhiyu Chen

doi:10.1117/12.2660955

16 December 2022 Research on human moving target tracking in surveillance video based on image recognition

Zhiyu Chen

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125003I (2022) https://doi.org/10.1117/12.2660955
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

With the continuous development of information technology in my country, the current image detection and tracking technology has been widely used in many industries. Traditional image recognition and tracking technology can only receive and process some simple video and picture content in actual use, which brings certain difficulties to the monitoring work of monitoring personnel, and also aggravates the occurrence of security risks. Applying the surveillance video of image recognition to the target tracking of human motion can achieve real-time monitoring, reduce the occurrence of false negatives and false positives, and at the same time improve the efficiency of video surveillance. Based on this, this research will start from the roughness of the surveillance video of image recognition, analyze the key technology of tracking and detection of human moving objects in surveillance video of image recognition, and provide certain strategies for the development of surveillance video tracking technology of image recognition in my country.

Citation Download Citation

Zhiyu Chen "Research on human moving target tracking in surveillance video based on image recognition", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125003I (16 December 2022); https://doi.org/10.1117/12.2660955

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KEYWORDS

Detection and tracking algorithms

Video

Video surveillance

Surveillance

Target recognition

Analytical research

Optical flow

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