Title: A multi object tracking method for complex scenes based on edge feature extraction of video images

Authors: Haidi Yuan; Wei Li

Addresses: Foundation Experiment Teaching Center, An hui Sanlian University, Hefei, 230601, China ' Information Center, Anhui Vocational College of Press and Publishing, He'fei, 230601, China

Abstract: In order to improve the accuracy of complex scene tracking and shorten tracking time, this paper proposes a multi object tracking method for complex scenes based on video image edge feature extraction. Firstly, capture video images from complex scenes. Secondly, obtain the edge feature components of video images and extract complex edge features of video images. Then, a single target tracker is designed to construct an affinity matrix and filter out elements that exceed the threshold. Finally, an undirected graph is constructed to match the previously tracked trajectory with the detection results. For trajectory updates on the matching, multi target tracking is achieved by solving the maximum weight clique graph to achieve complex scene multi target tracking. The experimental results show that the accuracy of our method can reach 99.89%, and the tracking time is only 2.6 seconds, indicating that our method can effectively improve the tracking effect.

Keywords: template matching; sports affinity; maximum weight clique graph; affinity function.

DOI: 10.1504/IJRIS.2025.149719

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.6, pp.380 - 389

Received: 07 Jun 2023
Accepted: 23 Aug 2023
Published online: 11 Nov 2025 *

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