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 d

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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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[0032] The present invention will be described in detail below in conjunction with the embodiments shown in the drawings, but it should be noted that these embodiments are not a limitation of the present invention, and those of ordinary skill in the art make functional, method, or structural improvements based on these embodiments. Equivalent changes or substitutions fall within the protection scope of the present invention.

[0033] Participate figure 1 The specific implementation of the particle filter pedestrian tracking method based on spatial BRS of the present invention is shown. Since the head and shoulders of pedestrians have small changes when they are walking, based on the consideration of easy detection, the training sample set can be defined as: a positive sample set that only contains the head and / or shoulders of the row, and does not contain the head of the pedestrian And / or an atlas of negative samples of the shoulder.

[0034] First, perform step S1, extract HOG fe...

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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...

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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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