Pedestrian detection method and system

Abstract

The invention provides a pedestrian detection method and system. According to the pedestrian detection method, head and shoulder detection, face detection and whole body detection are carried out on a collected image to obtain one or more kinds of features of the head and shoulders in front, the head and the shoulders at back or the head and the shoulders on the side, feature information of the whole body in front, feature information of the whole body at back, feature information of the whole body on the left and feature information of the whole body on the right. Accordingly, the features of the head and the shoulders in front, at back and on the side and features of the whole body at multiple angles of a target pedestrian with the covered face or a camouflage target pedestrian can be obtained, real-time handling of illegal activities and postmortem analysis are facilitated, and later workload of related staff can be greatly reduced. Defects of a staff gate system based on face detection in the prior art are overcome. The method and system are suitable for face detection in front, can be used for pedestrian detection at back and on the side, all information of a person is basically included in a face snapshot and a whole body snapshot of the person, and later deep analysis is facilitated.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a pedestrian detection method and system. Background technique [0002] With the rapid development of social economy, the application of video surveillance system in various industries is gradually maturing, and the number of cameras built and put into use is increasing rapidly. A large amount of pedestrian information can be obtained by using the camera set in the center of the traffic hub or at the checkpoint, which provides data support for the public security to chase criminals. How to effectively use these cameras to monitor personal behavior in public places, better maintain social stability and harmony, and eliminate all kinds of illegal and extreme pedestrians in the bud has become an urgent problem for the law enforcement departments of the whole society. [0003] In the prior art, the personnel bayonet system is based on face detection. The disadvantages of thi...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the personnel bayonet system is based on face detection. The disadvantages of this system are: first, the face is easily camouflaged, such as wearing a mask or wearing sunglasses, the detection will fail, and the face of the pedestrian cannot be obtained Second, face detection is easily affected by the angle of the face, and non-frontal faces are prone to detection failures resulting in false positives and re-reports; thirdly, face detection has high requirements for camera setup, and the closer you are to people, the better the effect, but the closer you are to people, the better. It is tight and can easily cause people's vigilance; in addition, because face detection only extracts face information, the obtained information only contains a single frontal face photo, and the amount of information is relatively small, which is not conducive to subsequent applications

However, in this solution, face detection, human body detection, and head and shoulders detection are performed independently, and the amount of data processing is very large. In addition, what is obtained through similarity analysis in this solution is the counting information of people, which cannot comprehensively reflect the number of pedestrians. Information

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