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Overlapped domain dual-camera target tracking system and method

A dual-camera, target tracking technology, used in closed-circuit television systems, image analysis, image data processing, etc., can solve the problem of difficulty in completing a monitoring system with a single camera, and achieve easy tracking, high tracking accuracy, and improved accuracy. Effect

Inactive Publication Date: 2014-08-20
JIANGSU UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0002] With the continuous expansion of the scale of the intelligent monitoring system and the increasingly complex environment, in order to achieve continuous target tracking, it becomes more and more difficult for the monitoring system using a single camera to meet the above requirements

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  • Overlapped domain dual-camera target tracking system and method
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  • Overlapped domain dual-camera target tracking system and method

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Embodiment Construction

[0040] Further description will be made below in conjunction with the accompanying drawings.

[0041] Such as figure 1 As shown, a dual-camera target tracking algorithm in an overlapping domain of the present invention specifically includes:

[0042] Step S101: Camera captures images

[0043] Step S102: Target detection

[0044] Step S103: target tracking, using the HSV space background weighted Meanshift algorithm

[0045] Step S104: Dual-camera target handover, adopting improved field of view boundary line target handover

[0046] Step S105: Subsequent processing

[0047] Such as figure 2 As shown, the steps of target tracking include:

[0048] Step S201: image conversion to HSV space;

[0049] Step S202: Calculate the color histogram of the target model

[0050] Step S203: The position y of the target in the current frame 0 Initialize with the search window size h;

[0051] Step S204: Calculate the candidate target model in the search area in y 0 color histogr...

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Abstract

The invention discloses an overlapped domain dual-camera target tracking system and method. According to the system, an HSV-based space background weighted Meanshift algorithm is connected with an improved visual field boundary target. According to the target tracking algorithm, a relatively-independent tracking task is executed on a video sequence collected by each camera within the visual field range of the camera through a front-end single-camera tracking subsystem, relevant information of the tacked target is obtained, data communication between the cameras is achieved by utilizing a target connection algorithm, and then high-class video processing processes like behavior judgment are carried out.

Description

technical field [0001] The present invention uses two fixed cameras to track and analyze moving targets in overlapping fields of view, and applies the theory related to target detection and tracking under a single camera to a dual-camera tracking system to realize continuous tracking of targets under the dual-cameras. Background technique [0002] With the continuous expansion of the scale of the intelligent monitoring system and the increasingly complex environment, in order to achieve continuous target tracking, it becomes more and more difficult for the monitoring system using a single camera to meet the above requirements. In this case, multi-camera object tracking comes into being. Multi-camera target tracking technology is an important development direction of intelligent video surveillance system. It covers computer vision, artificial intelligence, pattern recognition and information fusion. Based on the combination of multiple cameras to monitor important places, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G06T7/00G06T7/20G06K9/46
Inventor 宋雪桦于宗洁王维万根顺谢桂莹
Owner JIANGSU UNIV
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