Space-time correlation target re-identification method and system

Abstract

The invention relates to a space-time correlation target re-identification method. The method, in combination with the pixel motion rate of a target in video data, probability distribution of the duration of the target crossing two fixed-distance adjacent cameras in each video data is estimated; based on the duration probability, candidate targets appearing in the video can be firstly screened andpreprocessed, candidate targets exceeding the reasonable crossing time interval are screened, and the probability that similar targets are mismatched to be tracking targets is reduced. The inventionfurther relates to a space-time correlation target re-identification system. The method is advantaged in that the generated matching result is constrained by the space-time position and the target motion information, compared with an original unconstrained matching structure only relying on visual features, re-identification accuracy can be effectively improved.

Description

technical field [0001] The present invention relates to a target re-identification technology, specifically, a time-space correlated target re-identification method and a corresponding target re-identification system. Background technique [0002] The target re-identification problem is to use computer vision technology to judge whether there is a specific target in an image or video sequence. Specifically, when using video to track a specific target, since the video source comes from a fixed position, cross-video relay tracking needs to be performed when the target leaves the field of view. At this time, the problem of detecting the specific target in other video sources belongs to Object Re-identification Problem. [0003] The target re-identification problem uses the target visual features acquired in the image to perform feature matching and give possible candidate targets. Due to the similarity of features between different targets, it is also possible that the candid...

AI Technical Summary

Problems solved by technology

[0004] After searching the existing technologies, it is found that although the current target re-identification technology is widely used in relay tracking, many of the target re-identification modules only use the visual feature information of the target in the image

For example, the patent number CN201210201004.7, the patent name: Intelligent Visual Sensing Network Moving Target Relay Tracking System Based on GPS and GIS, although it combines GPS and GIS information, that is, spatial information for screening, but for the utilization of time and space information, only Staying at the stage of drawing GIS maps and target movement trajectories, there is no technology to directly use time information and spatial information to improve the accuracy of target re-identification. The target re-identification module is still only based on visual features, and it may still be due to The similarity of visual features produces a large number of candidate targets with low probability at unreasonable time intervals

[0005] In addition, although there are patents that combine target time and location information, such as application (patent) No. CN201610221993.4, it is a target re-identification method based on space-time constraints. This method assigns a minimum movement time to each pair of adjacent cameras , and according to the Weber distribution and the measured appearance time of the candidate target, the probability of the target appearing at this moment is given, and the joint probability distribution is given by combining the visual matching features, but this method does not consider the real-time motion state of the target. The probability of target appearance at a specific moment in the method is completely dependent on the measurement time, and there are two main problems: first, the time description based on this patent is the local time of each camera's own clock, and it is not described as unified global positioning

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