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Pedestrian detection method based on foreground analysis and pattern recognition

A pedestrian detection and pattern recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as insufficiency, and achieve the effect of narrowing the area and reducing the computing time.

Inactive Publication Date: 2012-11-28
SHANGHAI JIAO TONG UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

How to effectively combine the two types of methods is not enough research at present, which prompts the search for a more reasonable method framework, which can improve the detection accuracy and improve the processing speed of the method to meet the application requirements of pedestrian detection in complex scenes

Method used

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  • Pedestrian detection method based on foreground analysis and pattern recognition
  • Pedestrian detection method based on foreground analysis and pattern recognition
  • Pedestrian detection method based on foreground analysis and pattern recognition

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Embodiment

[0020] In this embodiment, the surveillance video sequence (720×576 pixels, 25 fps) provided by TRECVid2008 in Gatwick Airport, London, UK is processed. In this video, the background of the scene is changing dynamically. There are not only lighting changes but also constantly changing advertising light boxes. Moving objects include pedestrians, luggage carts, cleaning vehicles, etc., and pedestrians are seriously blocked. This embodiment includes the following steps:

[0021] In the first step, for the fixed camera video to be analyzed, manually calibrate the pedestrians located in various positions in the video scene, obtain a set of pedestrian height information and head vertex information, use a linear model to describe the relationship between pedestrian height and position, and use The least squares method learns the specific parameters of the linear model, and obtains the prior model of the pedestrian height change, specifically:

[0022] Randomly select a section of th...

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Abstract

The invention relates to a pedestrian detection method based on foreground analysis and pattern recognition, relating to the technical field of image processing. The method comprises the following steps: adopting a Gaussian mixed model to carry out background modeling on a video image and using threshold operation and morphology after-treatment to extract the foreground of the video image; using a contour characteristic and a pedestrian height prior model to analyze the foreground and obtain a preliminary pedestrian detection result; sampling nearby the position of the preliminary pedestrian detection result, using a pedestrian pattern recognition classifier to further judge a sampling area and removing an inaccurate preliminary pedestrian detection result so as to obtain a final pedestrian detection result. The pedestrian detection method not only can improve the degree of accuracy of pedestrian detection, but also can increase the processing speed of pedestrian detection in a video and can be applied to dynamically variable complex occasions.

Description

technical field [0001] The invention relates to a method in the technical field of video image processing, in particular to a pedestrian detection method based on foreground analysis and pattern recognition. Background technique [0002] In many applications in the field of computer vision, such as intelligent surveillance, machine vision, human-computer interaction, etc., it is necessary to detect pedestrians in video sequences. Due to the problems of rapid changes in illumination, various types of moving objects (such as pedestrians, vehicles, etc.), pedestrians occluding each other, and changing postures in practical application scenarios, how to robustly and quickly complete pedestrian detection in complex environments has always been a research hotspot. [0003] Existing detection methods can be divided into two categories: one category uses foreground analysis methods. Zhao Tao published "Tracking multiple human in complex situations" (Complex Multi-person tracking m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/66
Inventor 杨小康徐奕闫青
Owner SHANGHAI JIAO TONG UNIV
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