What are the classic target tracking algorithms in computer vision?

The first chapter introduces the classification of motion, the motion analysis model in computer vision field, the research status of motion detection and target tracking technology in computer vision field, and the difficulties of motion analysis technology in computer vision field. The second chapter introduces the traditional motion detection and target tracking algorithms, including background subtraction, frame subtraction and optical flow field evaluation algorithm. In chapter 3, the algorithm of low-speed target motion detection and tracking with periodic motion characteristics is introduced, and the application of this algorithm is introduced by taking CCD measurement system as an example. In chapter 4, the algorithm of high-speed moving target recognition and tracking is introduced, and the application of this algorithm is introduced by taking the laser communication ten-beacon light capture and tracking system as an example. The fifth chapter introduces the optical flow field algorithm used in the process of target motion detection in complex background, including the characteristics of normalization and its improved optical flow field evaluation algorithm, and introduces the specific application of the improved optical flow field algorithm; The sixth chapter introduces the complementary voting method to realize reliable motion vector estimation.