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Human action recognition has been well explored in applications of computer vision. Many successful action recognition methods have shown that action knowledge can be effectively learned from motion videos or still images. For the same action, the appropriate action knowledge learned from different types of media, e.g., videos or images, may be related. However, less effort has been made to improve...
This paper considers person re-identification issue in intelligent video surveillance systems. The problem is still difficult because of the large-scale search, especially when there are a huge amount of persons in multi-camera network. We propose a spatiotemporal model based on the statistics of space and time information for object tracking among multiple cameras. This model aims to predict the...
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