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A Fast Pedestrian Detection Method Based on Computer Vision

A computer vision and pedestrian detection technology, applied in the field of image processing, can solve the problems of poor real-time detection and low target recognition rate, achieve fast detection speed, meet real-time performance and robustness, and avoid the increase of time complexity. Effect

Active Publication Date: 2017-07-07
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] In order to solve the problems of low target recognition rate and poor real-time target detection caused by the interference of environment and human factors in the prior art, the present invention proposes a fast pedestrian detection method based on computer vision

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  • A Fast Pedestrian Detection Method Based on Computer Vision
  • A Fast Pedestrian Detection Method Based on Computer Vision
  • A Fast Pedestrian Detection Method Based on Computer Vision

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Embodiment Construction

[0026] A specific implementation process of the present invention will be described in detail below. 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.

[0027] An embodiment of a computer vision-based fast pedestrian detection method of the present invention includes the following steps

[0028] Step 1: Collect video images of campus activity squares and preprocess the images. First of all, it is necessary to perform background modeling for the image, and compare several background modeling detection algorithms such as the mixed Gaussian method, the kernel density estimation method, the mean method, the codebook method and the ViBe method, and comprehensively consider the algorithm's impact on hardware memory, robustness, and real-time performance. requirements. This patent selects the ViBe method to establish a background model for the image...

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Abstract

The invention discloses a rapid pedestrian detection method based on computer vision. The method comprises the following steps: firstly, acquiring a pedestrian video image, then establishing a background model for a video image frame by a ViBe algorithm, and segmenting out a foreground area by the ViBe algorithm combined with a frame difference method; secondly, calculating the coordinates of the highest point of each target block outline, thereby finishing location of a head candidate area; and finally, traversing the head candidate area by a target detection window to obtain a sample to be detected, inputting the sample to be detected in a composite head detection trained by an AdaBoost algorithm, and judging whether the sample is a human head sample to obtain a pedestrian detection result. According to the method with the technical scheme, the technical problem of poor robustness and real-time performance in the prior art is effectively solved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, to a fast pedestrian detection method based on computer vision. Background technique [0002] Intelligent video surveillance technology is an emerging research direction in the field of computer vision in recent years. It is a computer vision technology based on artificial intelligence. It takes moving objects in the scene as analysis objects, and moving objects include pedestrians, vehicles, animals, etc. Since people are the main body of social activities, the detection of pedestrians as targets has attracted more and more attention from researchers in the field of intelligent video surveillance. [0003] In terms of security, the intelligent video surveillance system obtains video images of the surveillance scene through the camera, and processes the obtained images, and sends an alarm when suspicious people or events appear in the scene, thereby prevent...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 张鹏程方史涛张瑞朱建虎蒋明浪
Owner CHONGQING UNIV OF POSTS & TELECOMM
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