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Video monitoring multi-target tracking method for fusion feature matching and data association

A multi-target tracking and video monitoring technology, applied in image data processing, instruments, computing, etc., can solve problems such as tracking loss, misassociation, and failure to take into account

Active Publication Date: 2014-12-17
NANJING NANYOU INST OF INFORMATION TECHNOVATION CO LTD
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Problems solved by technology

However, for environments with high target density or clutter density, using the nearest neighbor algorithm for data association can easily lead to misassociation, resulting in tracking loss or track merging; second, the patent obtains the foreground map through background difference, which will efficiently extract the target measurement data, but in the following correlation tracking, it is not considered that when the target changes from motion to static, the target blends into the background, and the background difference method cannot obtain the measurement data of the target, so the target cannot be tracked

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  • Video monitoring multi-target tracking method for fusion feature matching and data association
  • Video monitoring multi-target tracking method for fusion feature matching and data association

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Embodiment Construction

[0064] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0065] Such as figure 1 As shown, the present invention designs a video monitoring multi-target tracking method that combines feature matching and data association. Timing operates according to the following steps for each frame of video surveillance screen received:

[0066] Step A. Use the background modeling method to carry out background modeling for the current video surveillance frame, detect and obtain the target in the current video surveillance frame through the background difference method, and detect and obtain the measurement data of each target. The measurement data of the target is The position of the pixel point area occupied by the target in the frame of the video surveillance picture and the size of the pixel point area occupied by the target specifically include the following steps:

[0067] Step A01....

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Abstract

The invention discloses a video monitoring multi-target tracking method for fusion feature matching and data association, and is improved by aiming at a traditional video monitoring target tracking method. On the basis of predicting by adopting a Kalman filter, joint probability data association and the matching checking of RGB (Red Green Blue) color histogram features and Surf features are introduced, various motion states of a target can be tracked, and target tracking accuracy is guaranteed.

Description

technical field [0001] The invention relates to a multi-target tracking method for video surveillance which combines feature matching and data association. Background technique [0002] Multi-target tracking is a current research hotspot in the field of computer vision. Multi-target tracking refers to the use of computers to determine the position, size, and completeness of each independent moving target of interest in a video sequence. motion track. In recent years, with the rapid growth of computer data processing capabilities and the development of image analysis technology, the real-time tracking technology of objects has come to the fore. It has very important practical value. [0003] The current methods of target tracking in image sequences can be roughly divided into the following three types: [0004] (1) Methods based on motion analysis, typical of which are difference method, optical flow method, etc., which are suitable for situations where background changes ...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T7/00
Inventor 李晓飞车少帅刘浏吴鹏飞赵光明
Owner NANJING NANYOU INST OF INFORMATION TECHNOVATION CO LTD
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