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Commercial place cross-camera pedestrian trajectory tracking method

A cross-camera, trajectory tracking technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as wrong link, multi-target tracking track breakage, etc., to improve calculation speed, improve target detection accuracy, and improve accuracy rate effect

Active Publication Date: 2019-10-25
易诚高科(大连)科技有限公司
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AI Technical Summary

Problems solved by technology

[0009] In order to solve the problem of multi-target tracking trajectory breakage and wrong link in a limited scene, the present invention provides a cross-camera pedestrian trajectory tracking method in a commercial place

Method used

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  • Commercial place cross-camera pedestrian trajectory tracking method

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Embodiment Construction

[0033] In commercial places (malls, playgrounds) there are clear entrances and exits. By judging whether the target appears near the entrance and exit, it can be determined whether the target is newly entering the area or recovering the lost person; whether it is leaving the area or being blocked. The long-term multi-target tracking effect can be effectively improved by introducing the prior condition of the limited scene.

[0034] This method is aimed at the cross-camera multi-target tracking scheme, and uses the combination of generative model + discriminant model to perform cascade matching to complete the front and back frame correlation and complete multi-target tracking. Therefore, the method can be divided into three stages: object detection, object feature extraction, and cascade matching:

[0035] (1) Target detection: Deploy N cameras in a limited scene and connect to the server with RTPS protocol. At time T the server obtains from (Cam 1 ,Cam 2 ,...Cam n ) came...

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Abstract

The invention discloses a commercial place cross-camera pedestrian trajectory tracking method. The method comprises the following steps: (1) target detection; (2) target feature extraction; and (3) cascade matching. According to the commercial place cross-camera pedestrian trajectory tracking method, GPU parallel computing characteristics are fully utilized, an appropriate data structure is organized, and the computing speed is effectively increased; priori information of a specific scene is fully utilized, a reasonable ID adding and deleting scheme is formulated, and the target detection accuracy is effectively improved. A discrimination model and a generation model are effectively unified into one framework, advantages of the two methods are complemented, and the multi-target tracking accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of video analysis target tracking. Background technique [0002] At this stage, there are two ways to track pedestrians in commercial places such as shopping malls and playgrounds: [0003] 1) A tracking method based on a generative model, including correlation filtering and kalman filtering methods. This method predicts the position of the person in the next frame through the position of the pedestrian in the previous frame, so as to match the pedestrians in the two frames before and after to complete multi-target tracking. [0004] 2) The tracking method based on the discriminant model uses the feature extraction method to extract the features of the two frames of pedestrian local area images before and after, and then performs matching based on feature similarity to complete multi-target tracking. [0005] The above methods have their own advantages and disadvantages. The overall problems are: [0006] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/207
CPCG06T7/207G06T2207/10016G06T2207/20084G06T2207/20132Y02T10/40
Inventor 张吉昌马壮董波
Owner 易诚高科(大连)科技有限公司
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