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Particle filter pedestrian tracking method based on spatial BRS

A particle filter and pedestrian tracking technology, which is applied in the field of particle filter pedestrian tracking based on space BRS, can solve problems such as poor robustness, and achieve the effects of improving efficiency and accuracy, improving robustness, and improving tracking and counting

Inactive Publication Date: 2016-08-10
ABD SMART EYE ELECTRONICS CO LTD
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Problems solved by technology

[0006] The purpose of the present invention is to disclose a particle filter pedestrian tracking method based on spatial BRS, which is used to solve the technical problem of poor image robustness in video detection technology, and improve the tracking of pedestrians in irregular motion in public areas. The effect of tracking and counting, and the efficiency and accuracy of counting pedestrians in public areas

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  • Particle filter pedestrian tracking method based on spatial BRS
  • Particle filter pedestrian tracking method based on spatial BRS
  • Particle filter pedestrian tracking method based on spatial BRS

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the implementations shown in the drawings, but it should be noted that these implementations are not limitations of the present invention, and those of ordinary skill in the art based on the functions, methods, or structural changes made by these implementations Equivalent transformations or substitutions all fall within the protection scope of the present invention.

[0033] ginseng figure 1 Shown is a specific implementation of a spatial BRS-based particle filter pedestrian tracking method of the present invention. Since the head and shoulders of pedestrians have little change when walking, based on the consideration of easy detection, the training sample set can be defined as: the positive sample set that only contains the head and / or shoulders of the pedestrian, and does not contain the head of the pedestrian. and / or shoulder negative atlases.

[0034] First, step S1 is executed to extract...

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Abstract

The invention belongs to the technical field of video image processing, and provides a particle filter pedestrian tracking method based on spatial BRS. The method comprises the steps as follows: S1, extracting an HOG feature vector in a training sample set; S2, training the HOG feature vector based on an SVM algorithm to get an initialized moving pedestrian classifier; S3, acquiring a video stream image of a monitoring area as an input image; S4, using the initialized moving pedestrian classifier to detect moving pedestrians in the input image; S5, collecting a tracking set from a detected moving pedestrian area; and S6, tracking and counting the detected pedestrians using a particle filter algorithm based on spatial BRS. Through the method, the robustness of images in the video detection technology is improved, moving pedestrians in a state of irregular movement in public areas can be tracked and counted better, and the counting efficiency and accuracy of pedestrians in public areas are improved effectively.

Description

technical field [0001] The invention belongs to the technical field of computer video image processing, in particular to a particle filter pedestrian tracking method based on space BRS, which is used to accurately count the number of pedestrians in public areas. Background technique [0002] With the development of computer technology and image processing technology, video-based intelligent monitoring system has been widely used. It plays a huge role in ensuring social public safety and traffic safety, protecting people's lives and property, ensuring safe production and product testing in the field of industrial control, and related commercial fields. At present, the application of intelligent video surveillance system is mainly in the field of security prevention and control and the field of non-security prevention and control. Crowd monitoring in public places, road traffic safety monitoring, and industrial production safety monitoring are all applications in the field of...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06M11/00
Inventor 吕楠张丽秋
Owner ABD SMART EYE ELECTRONICS CO LTD
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