SocialTrack: Multi-Object Tracking in Complex Urban Traffic Scenes Inspired by Social Behavior
Wenguang Tao, Xiaotian Wang, Tian Yan, Jie Yan, Guodong Li, Kun Bai

TL;DR
SocialTrack is a novel multi-object tracking framework designed for complex urban traffic scenes from UAV perspectives, improving detection, trajectory prediction, and target association through social behavior modeling and multi-scale features.
Contribution
The paper introduces SocialTrack, a new multi-object tracking framework that incorporates social behavior priors, multi-scale detection, and adaptive filtering to enhance tracking accuracy in challenging urban environments.
Findings
Outperforms state-of-the-art methods on UAVDT and MOT17 datasets.
Achieves significant improvements in MOTA and IDF1 metrics.
Demonstrates high modularity and compatibility with existing trackers.
Abstract
As a key research direction in the field of multi-object tracking (MOT), UAV-based multi-object tracking has significant application value in the analysis and understanding of urban intelligent transportation systems. However, in complex UAV perspectives, challenges such as small target scale variations, occlusions, nonlinear crossing motions, and motion blur severely hinder the stability of multi-object tracking. To address these challenges, this paper proposes a novel multi-object tracking framework, SocialTrack, aimed at enhancing the tracking accuracy and robustness of small targets in complex urban traffic environments. The specialized small-target detector enhances the detection performance by employing a multi-scale feature enhancement mechanism. The Velocity Adaptive Cubature Kalman Filter (VACKF) improves the accuracy of trajectory prediction by incorporating a velocity dynamic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCrime Patterns and Interventions · Evacuation and Crowd Dynamics
