Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes-Reference-Cited by-同舟云学术

Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes

Published:2015-10 Issue:10 Volume:25 Page:1612-1623
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Lee Dong-Gyu,Suk Heung-Il,Park Sung-Kee,Lee Seong-Whan

Funder

ICT Research and Development Program within the Ministry of Science, Information and Communications Technologies and Future Planning/Institute for Information and Communications Technology Promotion

Implementation of Technologies for Identification, Behavior, and Location of Human based on Sensor Network Fusion Program through the Ministry of Trade, Industry, and Energy

National Agenda Project through the Korea Research Council of Fundamental Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/7284726/07024902.pdf?arnumber=7024902

Cited by 53 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 Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel- and Frame-Based Techniques Using Machine Learning Algorithms;Computation;2024-01-24

2. An Innovative Method for Snatch Theft Detection Using Convolutional LSTM-Auto Encoder Approach;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

3. An Enhanced Forensic Analysis and Security Surveillance Using Deep Reinforcement Learning;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18

4. Anomalous Activity Detection from Ego View Camera of Surveillance Robots;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. Hybrid Attention and Motion Constraint for Anomaly Detection in Crowded Scenes;IEEE Transactions on Circuits and Systems for Video Technology;2023-05