Pedestrian position detection and tracking method and system

A face detection and pedestrian technology, which is applied in the field of image processing, can solve the problems such as the inability to achieve the tracking effect of the target over time, the inability to meet the real-time requirements of subsequent target tracking, and the inability to balance real-time performance and robustness at the same time. Enhance self-adaptive capabilities, ensure accuracy, and achieve precise results

Active Publication Date: 2020-01-14
SHANDONG JIANZHU UNIV
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  • Summary
  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The inventors found that these algorithms have achieved the effect of moving target detection and tracking to a certain extent, but using these traditional detection and tracking algorithms alone not only has a large amount of calculation, but is not robust enough, and cannot learn online, so that the target tracking cannot be achieved. Time-varying tracking effects
With the development of machine learning, the training and classification of samples are gradually introduc

Method used

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  • Pedestrian position detection and tracking method and system
  • Pedestrian position detection and tracking method and system
  • Pedestrian position detection and tracking method and system

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Experimental program
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Embodiment 1

[0060] like figure 1 As shown, a pedestrian position detection and tracking method in this embodiment includes:

[0061] S101: Obtain the video stream in the preset scene, input the frame-by-frame images in the video stream into the face detection model in sequence, and output the face position and face size target frame of the pedestrian in the video stream; wherein, the face detection model consists of The default neural network is pre-trained.

[0062] In a specific implementation, before sequentially inputting frame-by-frame images in the video stream to the face detection model, it also includes: preprocessing each frame of image in the video stream, and the process is:

[0063] Gray-scale transformation is performed on each frame of image, and then noise interference is removed through median filtering to reduce the influence of illumination on detection; finally, the region of interest is highlighted through image enhancement.

[0064] In this embodiment, the accuracy...

Embodiment 2

[0115] like image 3 As shown, the present embodiment provides a pedestrian position detection and tracking system, which includes:

[0116] (1) Face detection module, which is used to obtain the video stream in the preset scene, input the frame-by-frame images in the video stream into the face detection model in turn, and output the face position and face size target of pedestrians in the video stream Frame; wherein, the face detection model is trained in advance by the preset neural network;

[0117] In a specific implementation, before sequentially inputting frame-by-frame images in the video stream to the face detection model, it also includes: preprocessing each frame of image in the video stream, and the process is:

[0118] Gray-scale transformation is performed on each frame of image, and then noise interference is removed through median filtering to reduce the influence of illumination on detection; finally, the region of interest is highlighted through image enhance...

Embodiment 3

[0139]This embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the pedestrian position detection and tracking method described in Embodiment 1 are implemented.

[0140] In this embodiment, the target frame is obtained according to the physical characteristics of the person and then fused with the detection result of the background subtraction method for correction, which improves the accuracy of the target pedestrian detection, enhances the adaptability of the method, and improves the accuracy of the target frame detection and segmentation.

[0141] In this embodiment, according to the mapping relationship between the pedestrian target object and the preset scene geographical location, the corrected position corresponding to the pedestrian target frame is obtained, and the specific position of the pedestrian is determined by using the coordinate relationship between the pedes...

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Abstract

The invention provides a pedestrian position detection and tracking method and system. The pedestrian position detection and tracking method comprises the following steps: acquiring a video stream ina preset scene, sequentially inputting frame-by-frame images in the video stream into a face detection model, and outputting a face position and a face size target frame of a pedestrian in the video stream; estimating a pedestrian target frame according to the body characteristics of the pedestrian and the face size target frame, fusing the estimated pedestrian target frame with the result of thepedestrian target frame detected by the background subtraction method, and performing correction to obtain a corrected pedestrian target frame; obtaining a position corresponding to the corrected pedestrian target frame according to a mapping relationship between the pedestrian target object and a preset scene geographic position; and calculating the centroid of the corrected pedestrian target frame to serve as the centroid of the pedestrian target of the corresponding frame image, and tracking the centroid of the pedestrian target of each frame image in the preprocessed video stream to realize pedestrian tracking. The method has good detection and tracking effects, and the influence caused by multi-target overlapping is avoided.

Description

technical field [0001] The present disclosure belongs to the field of image processing, and in particular relates to a pedestrian position detection and tracking method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Intelligent surveillance video analysis technology is an emerging application direction and a frontier subject that has attracted much attention in the field of computer vision. With the rapid development of network technology and digital video technology, monitoring technology is developing towards intelligence and networking. The advantage of the intelligent surveillance system is that it uses computer vision algorithms to automatically obtain key information in surveillance videos, minimizing manpower and material resources. As an important foundation of intelligent monitoring technology, moving object detect...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/161G06V40/103G06N3/045
Inventor 曹建荣武欣莹张旭杨红娟吕俊杰张玉婷朱亚琴
Owner SHANDONG JIANZHU UNIV
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