Artificial intelligence cross-camera multi-target tracking system and tracking algorithm

An artificial intelligence and tracking algorithm technology, applied in computing, computer parts, instruments, etc., can solve the problems of multi-target tracking, single-camera multi-target tracking technology complex scene application, etc., to achieve multi-target tracking, good extraction effect, The effect of precise correlation matching

Pending Publication Date: 2021-09-21
南京搜文信息技术有限公司
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an artificial intelligence cross-camera multi-target tracking system and tracking algorithm, which aims to solve the defects of the existing single-camera multi-target tracking technology in complex scene applications in video surveillance, starting from multiple cameras simultaneously To solve the problem of cross-camera multi-target tracking

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  • Artificial intelligence cross-camera multi-target tracking system and tracking algorithm

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Embodiment Construction

[0041] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0042] Such as figure 1 As shown, the present invention provides an artificial intelligence cross-camera multi-target tracking system, including a data layer module, a tracking layer module, a retrieval layer module and a presentation layer module, wherein,

[0043] The data layer module is mainly responsible for the collection and analysis of different video data streams, and the processing and follow-up tracking of different video stream data streams are all deployed in different machines, and the CPU and graphics card resources of each machine are allocated to one The function is fully used, the transmission of video stream is mainly realized through rtsp video stream, ffmpeg is used for real-time decoding, and the overall delay in the inference cycle...

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Abstract

The invention provides an artificial intelligence cross-camera multi-target tracking system. The artificial intelligence cross-camera multi-target tracking system comprises a data layer, a tracking layer, a retrieval layer and a presentation layer. The data layer is mainly responsible for collecting and analyzing different video data streams; the tracking layer realizes association matching of pedestrian targets in a camera through four parts of target detection, feature extraction, model prediction and feature association, and finally realizes a cross-camera tracking effect; the retrieval layer is used for cross-camera expansion. A feature sequence of pedestrians in the tracking process is maintained through a more intelligent algorithm, and the effect and accuracy of pedestrian retrieval are improved; the presentation layer is used for visually displaying a cross-camera tracking result. According to the invention, in many complex scenes in real life, on the basis of monitoring cameras deployed at different positions and different angles, real-time tracking of moving tracks of a plurality of targets is realized through collected multi-channel video pictures. A feature extraction model is improved, and a pedestrian re-recognition model is adopted to achieve a better extraction effect.

Description

technical field [0001] The invention belongs to the technical field of video monitoring and target tracking, and in particular relates to an artificial intelligence cross-camera multi-target tracking system and a tracking algorithm using the same. Background technique [0002] With the development of smart security and smart cities, China has become the country with the largest deployment of surveillance equipment in the world, and a large amount of video data has brought more opportunities, and various applications based on surveillance video streams have been continuously expanded. [0003] Single-camera-based multi-target tracking has gradually made great progress in speed and accuracy, and has been widely used in real life. It gradually changes the form of offline processing after the original event occurs into the form of online monitoring, which saves a lot It saves manpower and material resources, and brings more advanced technology to the construction of smart cities...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/22
Inventor 路松峰刘永志
Owner 南京搜文信息技术有限公司
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