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Multi-target tracking method based on multiple feature combination and Mean Shift algorithm

A multi-target tracking and multi-feature technology, applied in the field of target tracking, can solve the problems of poor robustness in moving target scenes, low tracking accuracy of moving targets, and low detection rate of moving target information, so as to improve tracking accuracy and real-time performance , improve robustness and real-time performance, and improve the effect of intelligence

Inactive Publication Date: 2016-12-07
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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Problems solved by technology

[0010] The purpose of the present invention is to provide a multi-target tracking method based on multi-feature union and Mean Shift algorithm, which solves the problem of low detection rate of moving target information in the target tracking method in the prior art; poor robustness to moving target scenes; Low target tracking accuracy; technical problems of poor real-time tracking results

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  • Multi-target tracking method based on multiple feature combination and Mean Shift algorithm
  • Multi-target tracking method based on multiple feature combination and Mean Shift algorithm
  • Multi-target tracking method based on multiple feature combination and Mean Shift algorithm

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[0077] The accompanying drawings constituting a part of this application are used to provide further understanding of the present invention, and the schematic embodiments and descriptions of the present invention are used to explain the present invention, and do not constitute an improper limitation of the present invention.

[0078] see figure 1 , a multi-target tracking algorithm based on the combination of multi-features and Mean Shift, which includes the following steps:

[0079] Step S100: Use the background difference method and the frame difference method to fuse and detect the acquired surveillance video images to obtain the multi-moving objects; the fusion detection here refers to combining the frame difference method and the background difference method to achieve two The advantages of each other complement each other. The background difference method uses the current frame in the video stream to make a difference with the pre-established background model, and the a...

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Abstract

The invention provides a multi-target tracking method based on multiple feature combination and a Mean Shift algorithm. The method comprises the following steps S100) a background model is initialized, a background in a video image is updated in a frame difference method, the background is differentiated in a background difference method, and the video image is binarized; S200) denoising and multi-target segmentation are carried out on the binary image sequentially to obtain segmented images with contours of movement targets; and S300) and a multi-target tracking algorithm is carried out on the segmented images on the basis of multiple feature combination and the Mean Shift algorithm. According to the method, features of R, G and B components in a color feature RGB model, H and S components of an HIS model and a gray-scale histogram are tracked comprehensively, the robustness and instantaneity of a target tracking result are improved, and the target sharpness is extracted.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a multi-target tracking method based on multi-feature union and Mean Shift algorithm. Background technique [0002] At present, in the video surveillance solutions for large-scale areas such as government squares, large parking lots, airport waiting halls, and station waiting halls, the existing monitoring solutions mainly use multiple bolts and high-speed balls for monitoring. The existing long-focus lens bolts have a limited field of view; and the bolts equipped with short-focus lenses can only obtain target images with insufficient pixels for distant targets; The whole scene and the part can get local enlarged and full-view images with accurate correspondence at the same time, and there will be blind spots when using it. For users, when adopting the existing monitoring scheme, it is necessary to switch between the images of multiple cameras to monitor, which is very i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T5/00
CPCG06T2207/20228G06T2207/10016G06T5/70
Inventor 谭树人张斯尧马昊辰
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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