Pedestrian Re-Identification Method Based on Visual Saliency and Multiple Features
A pedestrian re-identification, multi-feature technology, applied in the field of image processing, can solve the problems of low pedestrian re-recognition accuracy, pedestrian targets are easily affected by illumination, perspective, and posture changes, and achieve the effect of improving accuracy.
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[0019] Relevant detailed content and technology of the present invention, hereby cooperate drawing description as follows:
[0020] The implementation schematic diagram of the present invention is as figure 1 As shown, the specific steps are as follows:
[0021] (1) Detect pedestrians in the video, use the visual saliency model to preprocess the detected pedestrian result frame, and segment the complete pedestrian target;
[0022] In step (1), the saliency map M of the pedestrian area is obtained and the target segmentation is performed, and the specific process includes:
[0023] Calculate the original grayscale image M of the region of interest 0 and binary map M 1 , combining the two to generate a continuous and smooth weakly saliency map M w ,Calculated as follows:
[0024] (Formula 1)
[0025] According to the weak saliency map M w Select a training set containing positive and negative samples, and use the Multiple Kernel Boosting method to train the samples to ...
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