A Pedestrian-Oriented Long-Time Multi-Target Tracking Method

A multi-target tracking, long-term technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as algorithm performance degradation, and achieve the effect of easy engineering use, easy implementation, and improved accuracy

Active Publication Date: 2022-06-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, using the traditional multi-target tracking algorithm in a complex environment will cause the performance of the algorithm to decline.

Method used

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  • A Pedestrian-Oriented Long-Time Multi-Target Tracking Method
  • A Pedestrian-Oriented Long-Time Multi-Target Tracking Method
  • A Pedestrian-Oriented Long-Time Multi-Target Tracking Method

Examples

Experimental program
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Embodiment 1

[0054] like figure 1 , a pedestrian-oriented long-term multi-target tracking method, including the following steps:

[0055] Step 1. Use Socket to connect the system to the remote camera and receive the video data of remote monitoring. The data preprocessing is as follows: every 5 frames of images, the local system receives 1 frame of image, adjusts the image to 224×224, and will process it. The resulting image image must be stored in the cache buffer to obtain the video data date;

[0056] Step 2. Read the video data date in the bufier, use the YOLOv3 algorithm for the read image to achieve target detection, and obtain the position information of all pedestrians involved in the current image, namely >, Among them, are the coordinates of the upper left corner of the pedestrian detection frame, and the detection results are stored in the txt file;

[0057] Step 3, target tracking processing is performed on the image that has completed the detection function;

[0058] Record...

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Abstract

The invention discloses a pedestrian-oriented long-time multi-target tracking method, which belongs to the field of multi-target tracking algorithms, and specifically relates to the technical field of pedestrian long-time tracking algorithms to solve how to achieve correct target association for long-term occluded targets, including the following Steps: data preprocessing, target detection, and target tracking, wherein, target tracking includes feature extraction, feature measurement, target association, track verification, and track update. Through data preprocessing, the reception of raw data and image processing are realized, and then through target detection, the pedestrian information involved in the currently received image is obtained, and through target tracking, the target association is realized for the pedestrians involved in the continuous image sequence, so that The tracking trajectory is generated. Considering various complex situations, the algorithm realizes the correct association of long-term occluded targets through secondary comparison, which improves the robustness of the algorithm and improves the accuracy of target association.

Description

technical field [0001] A pedestrian-oriented long-time multi-target tracking method belongs to the field of multi-target tracking algorithms, and in particular relates to the technical field of long-time pedestrian tracking algorithms. Background technique [0002] Multi-target tracking is mainly aimed at continuous image sequences. According to the target detection algorithm, the target existing in the image is obtained, and then the target tracking algorithm is called to correctly associate the moving target in the continuous image. The multi-target tracking algorithm mainly adopts the technical route of detection-based multi-target tracking. The target tracking part of the multi-target tracking algorithm mainly includes the appearance model and the motion model. The appearance model mainly extracts the appearance features of the target obtained by the detection algorithm. Estimate the location information of the target in subsequent frames. [0003] Traditional multi-ta...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06N3/04
CPCG06T7/246G06T2207/10016G06T2207/20084G06T2207/30241G06N3/044G06N3/045
Inventor 田玲金琪段贵多罗光春李诗琪高向孚
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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