Cross-Video Pedestrian Tracking Algorithm with a Coordinate Constraint

Author:

Huang Cheng12,Li Weihong123,Yang Guang123,Yan Jiachen12,Zhou Baoding4ORCID,Li Yujun1

Affiliation:

1. School of Geography, South China Normal University, Guangzhou 510631, China

2. Guangdong Shida Weizhi Information Technology Co., Ltd., Qingyuan 511500, China

3. SCNU Qingyuan Institute of Science and Technology Innovation, Qingyuan 511500, China

4. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China

Abstract

Pedestrian tracking in surveillance videos is crucial and challenging for precise personnel management. Due to the limited coverage of a single video, the integration of multiple surveillance videos is necessary in practical applications. In the realm of pedestrian management using multiple surveillance videos, continuous pedestrian tracking is quite important. However, prevailing cross-video pedestrian matching methods mainly rely on the appearance features of pedestrians, resulting in low matching accuracy and poor tracking robustness. To address these shortcomings, this paper presents a cross-video pedestrian tracking algorithm, which introduces spatial information. The proposed algorithm introduces the coordinate features of pedestrians in different videos and a linear weighting strategy focusing on the overlapping view of the tracking process. The experimental results show that, compared to traditional methods, the method in this paper improves the success rate of target pedestrian matching and enhances the robustness of continuous pedestrian tracking. This study provides a viable reference for pedestrian tracking and crowd management in video applications.

Funder

Ministry of Public Security Science and Technology

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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