Target crowd tracking and monitoring method based on limited range scene

Abstract

The invention discloses a method for tracking and monitoring a target crowd based on a limited range of scenes, comprising: S1: based on the limited field of view, designing and implementing a complete set of camera placement and acquisition devices to meet the needs of target crowd activity scenes and full coverage of the field of view; S2 : Modify the anchor box size and proportion of the detection network model according to the body shape and face proportion of the target population, and modify the loss function of the detection network to improve the accuracy of detection; S3: While detecting the face, use a specific recognition network for the face. Recognition, so that when the detection network and the face recognition network are used at the same time, the detection and recognition accuracy can be improved without reducing the speed; S4: Improve the multi-target tracking monitoring model, through the extraction of specific features and the pruning of specific scenes to improve Model Adaptability for Target Population Tracking and Monitoring. This design scheme achieves no leakage and real-time in the visual scheme of target population care and accident prevention, and at the same time improves the accuracy of monitoring and the speed of positioning.

Description

technical field [0001] The invention relates to a target crowd tracking and monitoring method based on a limited scope scene, and belongs to the field of target identification, tracking and monitoring. Background technique [0002] The breakthrough progress of artificial intelligence technology in the field of computer vision has ushered in a burst of artificial intelligence, and deep learning is the key technology to achieve these breakthroughs. Among them, the image classification and recognition technology based on deep convolutional network has exceeded the accuracy rate of human eyes, and the image recognition technology based on deep neural network has reached the accuracy rate of 95%. In some limited scenarios such as nurseries, nursing homes, hospitals, nursing homes, etc., the target population needs real-time monitoring and assistance. Under the existing technical conditions, there are defects such as untimely assistance and difficulty in locating the location of t...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to generate an algorithm specially aimed at the combination of face detection and face recognition and tracking monitoring of the target group through the improvement of the existing target detection and tracking monitoring algorithm, which can effectively avoid occlusion and ID instability Changes and other issues

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