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Pedestrian detection method based on motion region

A motion area and pedestrian detection technology, applied in the field of pedestrian detection based on motion area, can solve the problem of high false detection rate of pedestrians

Inactive Publication Date: 2016-10-26
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0003] In view of the high false detection rate of pedestrian detection in video data in the prior art, the purpose of the embodiments of the present invention is to propose a pedestrian detection method based on motion regions, which can at least partially solve the above problems

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  • Pedestrian detection method based on motion region
  • Pedestrian detection method based on motion region

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Embodiment Construction

[0044] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0045] Aiming at the problem that the pedestrian detection method in the prior art is not effective, a method based on the motion area is proposed. The process is as follows figure 1 shown, including:

[0046] Step 1, collecting video data captured by camera equipment;

[0047] Step 2, using the mixed Gaussian model to carry out background modeling on the video data to obtain the moving foreground of the current frame; using the open operation to carry out morphological processing on the moving foreground to eliminate isolated points around the moving foreground;

[0048] Step 3. Construct a rectangular bounding box surrounding the moving foreground, and delete repeated rectangular bounding boxes; obtain the coordinates, length, and width of each rectan...

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Abstract

The invention provides a pedestrian detection method based on a motion region. The pedestrian detection method comprises the steps of: acquiring video data photographed by video camera equipment; carrying out background modeling on the video data by using a Gaussian mixture model to obtain a motion foreground of a current frame; carrying out morphological processing on the motion foreground by applying an open operation, and eliminating isolated points surrounding the motion foreground; constructing rectangular bounding boxes enclosing the motion foreground, and deleting duplicate rectangular bounding boxes; acquiring coordinates, length and width of each rectangular bounding box; creating a motion region on an original image of the current frame according to the rectangular bounding boxes; and extracting HOG features from the motion region of the original image, and identifying the HOG features of the current frame by utilizing a pre-trained SVM classifier so as to determine whether a pedestrian is in the motion region.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a pedestrian detection method based on a motion region. Background technique [0002] With the development of technology, all walks of life have higher and higher requirements for image processing, especially in the field of video surveillance, which has extremely high requirements for accurate detection to improve security. The existing pedestrian detection based on HOG feature is a method widely used in the field of computer vision. This method first extracts the HOG feature of the image, and then uses SVM as a classifier for discrimination, thereby realizing pedestrian detection. However, the HOG feature dimension is high, and it usually takes hundreds of milliseconds or even longer to extract the HOG feature of each frame of image, resulting in poor real-time performance of the pedestrian detection system. In addition, the existing HOG feature detection algorithm is...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/10016G06T2207/20081
Inventor 程德强赵凯陈刚高凌志黄晓丽满广毅厉航
Owner CHINA UNIV OF MINING & TECH
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