Collision-Free Video Synopsis Incorporating Object Speed and Size Changes

Author:

Nie Yongwei,Li Zhenkai,Zhang Zhensong,Zhang Qing,Ma Tiezheng,Sun Hanqiu

Funder

National Natural Science Foundation of China

Guangzhou Municipal Science and Technology Project

Northwestern Polytechnical University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 24 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. A Decentralized Fog Architecture for Video Preprocessing in Cloud-based Video Surveillance as a Service;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

2. Video synopsis method based on interaction determination using human pose estimation;Journal of Electronic Imaging;2024-02-24

3. Surveillance video synopsis framework base on tube set;Journal of Visual Communication and Image Representation;2024-02

4. TSDNN: tube sorting with deep neural networks for surveillance video synopsis;Multimedia Tools and Applications;2024-01-19

5. Performance analysis of object detection and tracking methodology for video synopsis;International Journal of Signal and Imaging Systems Engineering;2024

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