What are the current classical target detection algorithms in computer vision

Chapter 1 introduces the classification of motion, the motion analysis model in computer vision, the current research status of motion detection and target tracking technology in computer vision, and the difficulties of motion analysis technology in computer vision;

Chapter 2 introduces the traditional motion detection and target tracking algorithms, including the background difference method, the inter-frame difference method, and the optical flow field evaluation algorithm, etc;

Chapter 3 introduces the low-speed target motion detection and tracking algorithm with periodic motion characteristics, and takes the CCD measurement system as an example to introduce the application of the algorithm;

Chapter 4 introduces the high-speed motion target recognition and tracking algorithm, and takes the laser communication ten-beacon optical capture and tracking system as an example to introduce the application of the algorithm;

Chapter 5 introduces the target motion detection process with complicated background The optical flow field algorithm used in the process of target motion detection with complex background, including the regularization-related properties and its improved optical flow field evaluation algorithm, and introduces the specific application of the improved optical flow field algorithm;

Chapter 6 introduces the complementary voting method to achieve trustworthy motion vector estimation.