Passerby face detection and tracing algorithm based on video

Abstract

The invention proposes an algorithm of video pedestrian face detection and tracking through algorithms of motion object detection and motion object tracking, which pertains to the technical field of pattern recognition. The invention is composed of two main parts of a pedestrian face detection algorithm based on the motion object detection and a pedestrian face tracking algorithm based on the motion object tracking. The invention proposes the pedestrian face detection algorithm based on the motion object detection. The algorithm firstly utilizes a motion analysis method to detect the pedestrian, then calculates the gravity center of the human body and determines the face area according to the gravity center of the human body, and finally utilizes a skin-color model and a template matching method to detect the face in the face area. The invention proposes the pedestrian face tracking algorithm based on the motion object tracking. The algorithm tracks the face of the pedestrian through tracking the pedestrian, thereby effectively avoiding effects on the tracking of the face due to swing, rotation, expression, shelter and other factors of the face of the pedestrian.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a method for detecting and tracking pedestrian faces based on video by using a moving object detection and tracking method. technical background [0002] With the widespread deployment of video surveillance in large and medium-sized cities, the intelligent processing of massive information of surveillance video is also on the agenda. Video-based pedestrian face detection and tracking is a kind of surveillance video intelligent information processing, which has extensive and important applications in social security and public security criminal investigation. [0003] At present, most face detection algorithms are based on images, not videos. These algorithms use a window to traverse the entire image and detect whether the window contains a face. In order to adapt to changes in the size of the face, these algorithms repeatedly traverse the image with wind...

AI Technical Summary

Problems solved by technology

However, face tracking based on video is very difficult, because in the video, the pose, shape and size of the face are constantly changing, coupled with the fact that the face occupies a small proportion of the entire image and factors such as occlusion and expression , it is difficult to find stable features of the face that can run through successive frames of the video

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