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Multi-target detecting and tracking method based on RGB-D data

A target detection and multi-target technology, applied in the field of multi-target detection and tracking based on RGB-D data

Inactive Publication Date: 2015-06-24
DALIAN NATIONALITIES UNIVERSITY
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

Depth information can improve the performance of multi-target detection and tracking, but how to effectively fuse color image information and depth information for multi-target detection, and realize multi-target tracking based on detection is still a challenging research topic

Method used

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  • Multi-target detecting and tracking method based on RGB-D data
  • Multi-target detecting and tracking method based on RGB-D data
  • Multi-target detecting and tracking method based on RGB-D data

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Embodiment Construction

[0066] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0067] The realization of the embodiment of the present invention is based on windows 8.1 operating system, adopts Visual Studio 2013 and OpenCV 3.0 as software platform, and computer configuration is Intel (R) Core (TM) i7-4712MQ CPU@2.30GHz, 8.00GB memory, 64-bit operating system System.

[0068] A kind of multi-target detection and tracking method based on RGB-D data of the present invention, its flow chart is as follows figure 1 As shown, firstly, the color image information and depth information are effectively fused to detect moving targets; then, the results of multi-target detection are brought into the observation likelihood model of the RJMCMC particle filter algorithm, and at the same time, a reasonable state transition model is constructed ; finally, multi-target tracking is achieved by defining reasonable reversible jumping acti...

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PUM

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Abstract

The invention discloses a multi-target detecting and tracking method based on RGB-D data. The method includes the steps of effectively fusing colored image information and depth information to detect moving targets, substituting the results of multi-target detection into an observation likelihood model of the RJMCMC particle filtering algorithm, establishing a reasonable state transfer model at the same time, and tracking multiple targets by defining reasonable reversible jumping actions and corresponding suggestion distribution. Multiple targets are detected by fusing information of an RGB image and a depth image, and therefore the detection missing rate and the false detection rate are decreased; multiple targets are tracked through the RJMCMC particle filtering algorithm, and by setting the reasonable reversible jumping actions and selecting the corresponding suggestion distribution, shielding and interacting between multiple targets can be eliminated, and the problem that the number of multiple targets changes can be solved.

Description

technical field [0001] The invention relates to a multi-target detection and tracking method, in particular to a multi-target detection and tracking method based on RGB-D data. Background technique [0002] Multi-target detection is the basis of multi-target tracking. If multiple moving targets are detected in a color image alone, it is easy to cause missed detection and false detection. For example, when the color of the target is very similar to the background, it will cause missed detection; When a target is occluded before and after, it will be falsely detected as a target. If the multi-target detection results in depth information can be fused, the accuracy of target detection can be greatly improved, and more favorable prerequisites can be provided for multi-target tracking. [0003] In a complex video surveillance environment, occlusions, collisions, etc. will occur between moving objects, and the number of moving objects will also change continuously. Some traditio...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 姜明新
Owner DALIAN NATIONALITIES UNIVERSITY
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