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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.

Inactive Publication Date: 2015-04-22
XIDIAN UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

The main problem of the existing monitoring system is that a large amount of monitoring information is difficult to be processed 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.

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  • Pedestrian tracking method based on HOG-LBP
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  • Pedestrian tracking method based on HOG-LBP

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Embodiment Construction

[0061] Preferred embodiments of the present invention are described below, and it should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0062] A pedestrian tracking method described based on HOG-LBP of the present invention uses the CAVIAR engineering database disclosed by the INRIA (Institut National de Recherche en Informatique et en Automatique) laboratory on the Internet for visual computing technology research in this embodiment The video data in is used as the pedestrian tracking data source. In the above scene, a fixed camera collects real-time images.

[0063] In the SVM learning process, it is first necessary to establish a picture sample set. In this embodiment, the picture set of the INRIA pedestrian detection database is used as the source data of the picture sample set, and the picture is uniformly scaled to a 40X80 sample picture thro...

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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.

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T7/00
Inventor 屈鉴铭刘志镜贺文骅张小骏熊静王静刘慧王纵虎赵俊敏黄靓
Owner XIDIAN UNIV
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