Non-learning-Based Motion Cognitive Detection and Self-adaptable Tracking for Night-Vision Videos

Motion detection and tracking technology is one of the core subjects in the field of computer vision. It is significant and has wide practical value in night-vision research. Traditional learning-based detection and tracking algorithms require many samples and a complex model, which is difficult to implement. The robustness of detection and tracking in complex scenes is weak. This chapter introduces a series of infrared small-target detection, non-learning motion detection and tracking methods based on imaging spatial structure, which are robust to complex scenes.

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