Pedestrian tracking method based on HOG-LBP

A HOG-LBP, pedestrian tracking technology, applied in the field of pedestrian tracking and signal filtering technology based on HOG-LBP description, can solve the problem that monitoring information is difficult to be processed in a timely and effective manner.
CN102663409AInactive Publication Date: 2012-09-12XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2012-09-12
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a pedestrian tracking method based on HOG-LBP, comprising the following steps of, A1, sample establishment; A2, feature extraction; A3, SVM model establishment; A4, classifier training; A5, video capture and pretreatment; A6, video pedestrian examination; A7, video pedestrian tracking: applying a particle filtering tracking method based on an HOG-LBP feature to track the pedestrian examined in step A6. The method firstly learns an image pedestrian mode through a support vector machine, and then classifies a moving area in a video sequence and inputs the result to a particle filtering machine to update the particle status, and finally realizes continuous tracking to pedestrian movement in the scene. Because the method collects pedestrian feature by adopting HOG-LBP and uses the particle filtering to track movement, it has good adaptability and stability to movement interleave and sheltering phenomenon in a scene and non-linear feature presented by the movement.
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Description

technical field

[0001] The invention belongs to the technical field of computer vision, and relates to a computer monitoring technology based on moving images, a pattern recognition technology based on statistical learning, and a signal filtering technology. The invention mainly relates to a video surveillance target tracking method, specifically a pedestrian tracking method based on HOG-LBP description. Background technique

[0002] As society pays more attention to public safety issues, real-time monitoring has been more and more widely used. The main problem of the existing monitoring system is that it is difficult to process a large amount of monitoring information in a timely and effective manner. The recognition of human behavior and events through computer assistance has become a hot issue in the field of computer vision.

[0003] The intelligent analysis technology of visual surveillance is a hot and difficult issue in the field of computer vision, involving image p...

Claims

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