Improved weighting region matching high-altitude video pedestrian recognizing method
A high-altitude video and pedestrian recognition technology, applied in the field of image processing, can solve problems such as large noise areas, background clutter, and blurred details
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[0141] Example: such as figure 1 The overall scheme of the KS-WRM method shown includes the following steps:
[0142] (1) Read each frame in the video sequence, use the Kalman filter algorithm to mark the candidate area, and select voters from the manually marked voter library;
[0143] (2) Perform pedestrian detection on the candidate area marked in step (1), and mark the candidate;
[0144] (3) Segment the pedestrian target from the marked candidates, and use the correction algorithm to correct the pedestrian target accordingly, so as to obtain the candidate set;
[0145] (4) Weight the area of the pedestrian target in the candidate set, measure the matching degree between the voter and the candidate, and calculate the full probability P(c) of the voter corresponding to each candidate j ), and again select the pedestrian P with the largest total probability of the candidate from the calculated total probability obj =max{P(c j )}, and with the threshold T obj In compar...
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