The vision for surveillance is an important task in many computer vision applications. The monitoring system concerns the tracking and recognition of people, and more generally, the understanding of human behaviors, from image sequences involving humans.
BeetSoft has researched and developed image recognition and technology to recognize the behavior. We propose an efficient and robust object tracking algorithm that uses the color features, distance features and count feature based on an evolutionary technique to measure the observation similarity.
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By Minh Thao Nguyen
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