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Moving object tracking method in video sequence image

A technology for moving targets and video sequences, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as poor success rate of filtering and tracking

Active Publication Date: 2015-05-13
SOUTHWEST COMP
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AI Technical Summary

Problems solved by technology

[0058] Aiming at the poor success rate of Kalman filter tracking and the deficiency of particle filter real-time performance in the prior art, the present invention studies the real-time performance of the particle filter algorithm and further improves the particle filter algorithm

Method used

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  • Moving object tracking method in video sequence image
  • Moving object tracking method in video sequence image
  • Moving object tracking method in video sequence image

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Embodiment Construction

[0075] The implementation of the present invention will be further specifically described below with reference to the accompanying drawings and specific examples.

[0076] The present invention proposes an improvement of the particle filter algorithm, combined with the codebook modeling Codebook foreground detection algorithm and the HSV color space histogram and color feature value of the target to improve the particle filter algorithm, and obtains the ROI that needs to be tracked through the foreground detection, which is better It solves the problem of particle divergence in the tracking process, ensures the diversity of particles, and improves the phenomenon of particle degradation. It can accurately track changing moving targets in complex backgrounds.

[0077]In order to make the method solve the difficulty of lack of particles, it can also ensure the diversity of particles. Usually it is the number N of particles that can effectively describe the state of the system ef...

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Abstract

The invention discloses a moving object tracking method in a video sequence image, and belongs to the technical field of image processing. In order to solve the defects that the Kalman filter tracking success rate in the prior art is relatively low and the particle filtering real-time performance is poor, real-time performance of the particle filter algorithm is researched, characteristic matching is performed according to the moving object image and the color template, the particle filter tracking is improved by combining foreground object detecting, the particle filter algorithm based on the foreground detecting is improved, crossed shielding judgment is introduced, a state transfer equation is established, moving object tracking is completed, reliability and variety of particles are improved, the moving state of the object is described well, the algorithm real-time performance is improved when the calculation amount is reduced, re-sampling is stopped during crossing, so that the particles around the target are not interfered.

Description

technical field [0001] The invention relates to computer image processing technology, in particular to the tracking of moving objects. Background technique [0002] With the advancement of science and technology and social development, intelligent video surveillance technology has been widely used in the fields of industrial and agricultural production, national defense construction, commerce, transportation and home security, as a carrier of transmission and storage. [0003] The visual analysis of moving targets in intelligent video surveillance sequence images is mainly to analyze video sequences containing moving targets, including three processes: moving target detection, moving target tracking, and behavior analysis and judgment. [0004] The difficulty of detection and tracking is that the image is a projection from a three-dimensional space to a two-dimensional plane, which itself has information loss, and the moving target is not a definite signal, it will rotate, z...

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/20024
Inventor 瞿中辛宁文倩云赵栋梁乔高元
Owner SOUTHWEST COMP
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