Method for detecting head and shoulders of pedestrian in video based on overhead pixel gradient direction
A technology of gradient direction and detection method, applied in the field of pedestrian head and shoulder detection in video, can solve the problems of low efficiency, low precision and high missed detection rate, and achieve the effect of improving accuracy, solving low efficiency and improving efficiency
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[0037] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0038] Figure 4 It is a frame of image in a video shot by a camera, the frame rate of the video is 25f / s (frame / second), and the resolution is 320×240.
[0039] A pedestrian head and shoulder detection method based on the gradient direction of the top pixel point in a video, comprising the following steps:
[0040] (1) In the training sample, extract the HOG feature of the head and shoulders sample and the HSV color feature of the head sample, and use the SVM machine learning classifier to train and generate the head and shoulders SVM classifier, as follows:
[0041] The training samples required to train the classifier come from the publicly available MIT and INRIA pedestrian databases (http: / / cbcl.mit.edu / software-datasets / PedestrianData.html, http: / / pascal.inrialpes.fr / data / human) . The head and shoulders and the head of pedestrians are...
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