Expressway monitoring video vehicle ReID(Re-Identification) method and system
A technology for vehicle tracking and expressway, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of difficult implementation and low algorithm applicability, and achieve the effect of small model size
Pending Publication Date: 2020-12-11
HEBEI PROVINCIAL COMM PLANNING & DESIGN INST +1
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[0004] In view of the above analysis, the embodiment of the present invention aims to provide a method and system for cross-mirror vehicle tracking of expressway surveillance video, to solve the problem that the existing cross-mirror vehicle tracking method is difficult to implement in actual scenarios and the applicability of the algorithm lower question
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[0059] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.
[0060] Cross-mirror tracking refers to tracking the trajectory of the target vehicle based on video files captured by multiple cameras, and splicing the trajectory of the target vehicle corresponding to each camera to obtain the complete trajectory of the target vehicle. Existing cross-mirror vehicle re-identification technologies are all based on marked data sets. Although vehicle re-identification technology has been further developed with the release of high-quality data sets, the data set scenarios are limited and the algorithm model is limited. The limitations are strong, it is difficult ...
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The invention relates to an expressway monitoring vehicle ReID method and system, belongs to the technical field of computer vision images, and solves the problems that an existing vehicle ReID methodis difficult to implement in an actual scene and the applicability of an algorithm is low. The method includes acquiring frame images in a plurality of camera video files of a highway to be monitored, and performing vehicle detection on each frame image based on the improved YOLO target detection model to obtain a vehicle detection image containing a complete vehicle rectangular frame; inputtingthe vehicle detection image into a multi-target tracking model to obtain a vehicle tracking result; establishing a vehicle information database according to the vehicle detection image and a vehicle tracking result; intercepting the target vehicle image based on the vehicle detection image corresponding to any camera number in the vehicle information database, and matching the motion trail of thetarget vehicle corresponding to the target vehicle image according to the vehicle information database, so that vehicle ReID is realized, the implementation difficulty of the tracking method is reduced, and the applicability is improved.
Description
technical field [0001] The invention relates to the technical field of computer vision images, in particular to a method and system for tracking vehicles across mirrors in highway monitoring video. Background technique [0002] At present, the expressway monitoring system is becoming more and more perfect, and the deployment of cameras is becoming more and more intensive. However, the expressway is still the most accident-prone place. [0003] Existing cross-mirror vehicle re-identification technologies are all based on marked data sets. Although vehicle re-identification technology has been further developed with the release of high-quality data sets, the data set scenarios are limited and the algorithm model is limited. The limitations are strong, it is difficult to implement in actual scenarios and the applicability of the algorithm is low. Contents of the invention [0004] In view of the above analysis, the embodiment of the present invention aims to provide a method...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/46G06V20/41G06V20/52G06F18/22Y02T10/40
Inventor 李春杰赵建东韩明敏郭玉彬侯晓青严华高海涛
Owner HEBEI PROVINCIAL COMM PLANNING & DESIGN INST