A road network-based video tracking method and device

Abstract

The invention discloses a video tracking method and device based on a road network. The video tracking method comprises the following steps: analyzing a suspicious node and a path of a suspected target from a crime scene to a set radius based on the road network; finding out video monitoring front-end equipment on the suspicious node and the path; and on the basis of a searched path, performing priority ranking on all found front-end equipment according a visible range of the front-end equipment and a distance between the front-end equipment and a starting point, checking videos of the front-end equipment according to the ranking and tracking the target. The device of the invention comprises a path search module, a front-end equipment search module and a ranking tracking module. The method and device of the invention can more quickly acquire video records of the suspected target and help to more quickly uncover a case.

Description

technical field [0001] The invention belongs to the technical field of video tracking, in particular to a road network-based video tracking method and device. Background technique [0002] Video surveillance is an important part of the security system. Video surveillance is widely used in many occasions because of its intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computer, network, image processing and transmission technology, the popularization trend of video surveillance has become more and more obvious. Video surveillance plays an increasingly important role in urban security. Many public security, traffic violations, and criminal cases rely on the video images recorded by surveillance cameras distributed in the city to be finally detected. [0003] However, in the prior art, if there is an incident such as a theft case, it is necessary to check the surveillance video recording and track the suspect. The vid...

AI Technical Summary

Problems solved by technology

The disadvantage of this technical solution is mainly reflected in the low search efficiency, because currently only the time point of the crime is known, and the cameras in the crime area are not selected or sorted, so all the cameras in the crime area are checked in turn When the incident occurs, it is necessary to check the video from the time point of the incident, which will consume a lot of time and workload, and you must keep your attention during the video viewing process, because you don't know when the suspect will be. appears in the segment, the search efficiency will be greatly reduced

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