| Vehicle recognition and tracking based on simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm |
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| 作者姓名： | 王伟峰 YANG Bo LIU Hanfei QIN Xuebin |
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| 作者单位： | 1. School of Safety Science and Engineering,Xi'an University of Science and Technology;2. School of Electrical and Control Engineering,Xi'an University of Science and Technology |
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| 基金项目： | Supported by the National Key R&D Plan of China (2021YFE0105000)；;the National Natural Science Foundation of China (52074213)；;Shaanxi Key R&D Plan Project (2021SF-472)；;Yulin Science and Technology Plan Project (CXY-2020-036)； |
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| 摘 要： | Target recognition and tracking is an important research filed in the surveillance industry.Traditional target recognition and tracking is to track moving objects, however, for the detected moving objects the specific content can not be determined.In this paper, a multi-target vehicle recognition and tracking algorithm based on YOLO v5 network architecture is proposed.The specific content of moving objects are identified by the network architecture, furthermore, the simulated annealing chaotic m...
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