Aiming at the problem of difficulty in information processing of high-resolution and wide-area surveillance system, a multi-target detection and tracking method based on deep learning algorithm is proposed to solve the problem of accurate multi-target tracking in extreme scenes such as high-speed motion, high density and high apparent similarity between targets. Aiming at the pressure of data transmission and storage caused by the huge original data of the system, a solution of massive data management and compression transmission is proposed. The tests show that the proposed information processing scheme can realize real-time intelligent multi-target detection, recognition and tracking, and meet the new requirements of aviation situation awareness.
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