Multi-Bernoulli video multi-target detection tracking method based on YOLOv3

Abstract

The invention discloses a multi-Bernoulli video multi-target detection tracking method based on YOLOv3, and belongs to the field of machine vision and intelligent information processing. According tothe method, a YOLOv3 detection technology is introduced under a multi-Bernoulli filtering framework, an anti-interference convolution feature is adopted to describe a target, a detection result and atracking result are interactively fused, and accurate estimation on the multi-target state of the video with unknown number and time varying is realized; in the tracking process, a matched detection frame is combined with a target track and a target template, target newborn judgment and occlusion target re-identification are carried out in real time, identity label information of a detection target and an estimation target is considered at the same time, target identity identification and track tracking are achieved, the tracking precision of an occluded target can be effectively improved, andtrack fragments are reduced. Experiments show that the method has a good tracking effect and robustness, and can widely meet the actual design requirements of systems such as intelligent video monitoring, man-machine interaction and intelligent traffic control.

Description

technical field [0001] The invention relates to a multi-target detection and tracking method based on YOLOv3 multi-Bernoulli video, belonging to the fields of machine vision and intelligent information processing. Background technique [0002] In the field of video multi-target tracking applications in complex environments, in addition to problems such as illumination changes, target deformation, and target occlusion, there are also complex problems such as unknown number of targets, uncertain new targets, crossing or close movement of targets, disappearance of targets, and clutter interference. Situation has always been a difficult and challenging problem in the field of multi-target tracking. [0003] Aiming at the problem of video multi-target tracking, in the early days, the target detection and tracking method based on data association was mainly used. First, the target detector was used to detect multiple targets in the video sequence, and then the video multi-target t...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the current existing target tracking methods cannot detect new targets and when multiple targets occlude and interfere with each other, the tracking accuracy decreases, and even the target is missed. Nourishing video multi-target detection and tracking method, in the method detection and tracking process, adopt YOLOv3 technology to detect the k and k+1 frame video sequence of video; record k moment detection frame number is n, detection frame state set is The number of detection frames at time k+1 is m, and the state set of detection frames is in, Represents the i-th detection frame state vector, parameter respectively represent the abscissa and ordinate of the upper left corner of the i-th detection frame at time k, and the width, height and label of the detection frame;

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