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- W4384521620 abstract "Moving target tracking is one of the most popular research topics in machine vision and target tracking. Its primary purpose is to identify and locate target objects using cameras and other sensors, capture trajectories using depth and positioning results, enable robots and vehicles to avoid obstacles and help realize autonomous driving. Currently, the methods of moving target tracking include radar-based point cloud schemes and camera-based binocular vision schemes. The first scheme is difficult to implement at a low cost due to the cost of radar. The latter algorithm has high complexity, but the cost is low, which is one of the main current research directions. This paper focuses on the research of moving target tracking based on binocular vision. The researchers further construct the moving target tracking algorithm by studying the traditional tracking method and the principle of binocular range. In addition, the ROI extraction procedure was improved, depth and distance calculation methods were established, and global stereo matching, tracking, and positioning were realized. It is expected that the research in this paper can provide some reference for machine vision and robot vision obstacle avoidance." @default.
- W4384521620 created "2023-07-18" @default.
- W4384521620 creator A5034188355 @default.
- W4384521620 date "2023-05-26" @default.
- W4384521620 modified "2023-10-18" @default.
- W4384521620 title "Research on the Application of Moving Target Tracking Based on Binocular Vision" @default.
- W4384521620 cites W2142350807 @default.
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- W4384521620 doi "https://doi.org/10.1109/icetci57876.2023.10176453" @default.
- W4384521620 hasPublicationYear "2023" @default.
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