Video group character motion trail tracking method based on feature association
A motion trajectory and feature association technology, applied in the cross field, can solve problems such as insufficient matching accuracy of characters between frames, tracking errors, etc.
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[0033] The present invention will be further described below in conjunction with the accompanying drawings.
[0034] figure 1It is a process of a method for tracking motion trajectories of people in video groups based on feature association. First input a video, in order to facilitate the processing of subsequent tracking operations, normalize the size of all video frames in the video sequence, set the standard video frame size, and use double lines for video frames that do not meet the standard video frame size specification Image scaling with interpolation algorithm.
[0035] Considering the serious mutual occlusion of group figures and complex lighting changes, the Mask-RCNN network using high-low fusion features is used for character detection to reduce the impact of environmental factors on subsequent tracking operations and obtain accurate character position and feature descriptions. Computational cost, transforming feature descriptions into feature masks that are easy...
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