Video Pedestrian Detection and Tracking Method Based on Motion Information and Trajectory Association

Abstract

The invention provides a video pedestrian detection and tracking method based on motion information and trajectory association. Pedestrian detection: Use the frame difference method to detect motion, combined with the morphological method in digital image processing, first detect the motion area in the video, and then use the sliding window search method to extract features in the motion area, and use the pre-trained pedestrian Detect the classifier, classify and finally get the classification result. Tracking method: Use the pedestrian detection result obtained in the previous step as the input of this step, initialize a tracker for each detected pedestrian at the beginning, and each tracker contains the historical movement information and appearance information of the target. When processing the current frame, for each input detection result, extract the position information and appearance information, and establish a correlation matrix based on this to correlate the tracking targets in the previous frame, and finally get the tracking track of the pedestrian. The present invention has good real-time performance and good robustness in complex scenes.

Description

technical field [0001] The invention belongs to the technical field of digital image processing and relates to video pedestrian detection and tracking technology. Background technique [0002] With the development of modern computer technology and the wide application of computer vision principles, the research on pedestrian detection and tracking in video using artificial intelligence and computer image processing technology is becoming more and more popular. Video pedestrian detection and tracking is to find out the position and trajectory of pedestrians in a video sequence. As the basic technology of modern intelligent monitoring, it can be applied to various monitoring scenarios, such as roads, stations and airports. Pedestrian detection and tracking can be divided into two parts, namely pedestrian detection and pedestrian tracking. [0003] Commonly used pedestrian detection techniques are as follows: [0004] 1) Pedestrian detection method based on background modeli...

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