A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes

Author:

Lin Weiyao,Mi Yang,Wang Weiyue,Wu Jianxin,Wang Jingdong,Mei Tao

Funder

Chinese National 973 Grants

National Science Foundation of China

Microsoft Research Asia Collaborative Research Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. E-GNN: An Enhanced Method for Multi-Object Tracking with Collective Motion Patterns;IEEE Robotics and Automation Letters;2024-04

2. Motion segmentation using Ward’s hierarchical agglomerative clustering for crowd disaster risk mitigation;International Journal of Disaster Risk Reduction;2024-02

3. Multi-Scale and spatial position-based channel attention network for crowd counting;Journal of Visual Communication and Image Representation;2023-02

4. An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering;IEEE Transactions on Knowledge and Data Engineering;2023

5. A new approach to dominant motion pattern recognition at the macroscopic crowd level;Engineering Applications of Artificial Intelligence;2022-11

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