Non-overlapping area pedestrian tracking method based on deep neural network

A deep neural network and pedestrian tracking technology, which is applied in the field of pedestrian tracking in non-overlapping areas, can solve the problems of low detection accuracy and tracking accuracy, achieve the effects of robust and reliable deep features, improve network performance, and increase network depth

Active Publication Date: 2018-09-07
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies of the prior art, the present invention provides a method for pedestrian tracking in non-overlapping areas based on deep neural networks, which uses YOLO detection algorithm, Kalman tracking algorithm and deep residual network to detect and track target pedestrians. Tracking, which solves the problem of low detection accuracy and tracking accuracy, and improves the recognition rate of pedestrians

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  • Non-overlapping area pedestrian tracking method based on deep neural network
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  • Non-overlapping area pedestrian tracking method based on deep neural network

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Embodiment Construction

[0028] Such as figure 1 , the specific steps of the method of the present invention are as follows:

[0029] Step A, calling the monitoring probe to obtain the video image;

[0030] Step B, using the YOLO algorithm to detect the pedestrian target within the scope of the monitoring screen and segment the pedestrian target picture from the original video frame;

[0031] The YOLO algorithm regards the detection problem as a regression problem, uses a single neural network, and uses the information of the entire image to predict the border of the target and identify the category of the target to achieve end-to-end target detection.

[0032] Among them, the target detection algorithm used is the YOLO algorithm, and its specific steps are as follows:

[0033] Step B-1, train the detection model of YOLO, a target detection algorithm based on deep learning. The detection algorithm model can detect 21 types of objects including background ones. The training data sets are VOC2007 an...

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Abstract

The present invention discloses a non-overlapping area pedestrian tracking method based on a deep neural network. The method comprises the following steps of: (1) employing a YOLO algorithm to performdetection of a current pedestrian target in a monitoring video image to segment a pedestrian target image; (2) employing the Kalman algorithm to perform tracking prediction of a detection result; (3)employing a convolutional neural network to extract depth features of images, wherein the images comprise candidate pedestrian images and the target pedestrian images in the step (2), and storing theimages of the candidate pedestrian and features; and (4) calculating similarities of the features of the target features and the features of the candidate pedestrian, and performing sorting of the similarities to identify the target pedestrian. The non-overlapping area pedestrian tracking method can obtain high detection and tracking precision so as to facilitate improvement of pedestrian recognition rate.

Description

technical field [0001] The invention relates to a pedestrian tracking method, in particular to a pedestrian tracking method based on a deep neural network without overlapping areas. Background technique [0002] In recent years, the demand for video surveillance systems has been increasing. For most video surveillance systems, the people appearing in the surveillance video are the focus of attention. Therefore, the intelligent surveillance system needs to have the ability to detect, identify, and track pedestrian targets. ability to further analyze its behavior. Due to the limitations of the camera monitoring area, the joint monitoring of cameras without overlapping fields of view is more and more widely used in monitoring systems, and to realize these functions requires excellent pedestrian detection and pedestrian re-identification technologies. [0003] The patent with the publication number CN 105574515 A discloses "a pedestrian re-identification method under non-overla...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06F18/29
Inventor 韩光葛亚鸣苏晋鹏李晓飞
Owner NANJING UNIV OF POSTS & TELECOMM
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