Monitoring video pedestrian recognition and tracking method and device and storage medium

Abstract

The invention discloses a monitoring video pedestrian recognition and tracking method and device and a storage medium, and the method comprises the steps: constructing an SSD target detection model which comprises a MobileNet cascade neural network and a feature extraction network which are trained in advance; decoding a monitoring video to obtain image data, selecting one frame in the image dataand inputting the frame into the SSD target detection model for face detection and recognition to obtain position box information of each pedestrian in the current frame image; and tracking each pedestrian in real time according to the position box information of each pedestrian in the current frame image and generating a moving track. According to the embodiment of the invention, the SSD networktrained by deep learning is adopted, the feature acquisition network for pedestrian recognition and tracking in the monitoring video is optimized, pedestrian face detection is realized through the MobileNet cascaded neural network, the calculation speed and accuracy are greatly improved, real-time pedestrian detection of a camera can be realized, and the reliability of security monitoring is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, and in particular, to a method, device and storage medium for pedestrian identification and tracking in surveillance video. Background technique [0002] The popularization of surveillance cameras and the development of image processing technology have provided good conditions for the development of intelligent surveillance. Identifying and tracking pedestrians in surveillance video can effectively monitor the movement trajectories of people within the popular range of cameras and improve the level of security. [0003] However, in the existing video pedestrian detection and tracking technology, the speed of front-end feature collection and extraction is low and the accuracy is not enough, which cannot meet the real-time detection requirements of the camera, and may result in tracking failure and other results, reducing the reliability of security monitoring. [0004] Therefore, the exi...

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned deficiencies in the prior art, the object of the present invention is to provide a surveillance video pedestrian recognition and tracking method, device and storage medium, aiming at solving the problem in the prior art that the monitoring video pedestrian detection speed and accuracy are not enough and the tracking is unstable. question

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