Fight Detection in surveillance video dataset versus real time surveillance video using 3DCNN and CNN-LSTM
Author:
Affiliation:
1. Sri Sai Ram Institute of Technology,Department of Information Technology
2. Velammal Engineering College,Department of Computer Science and Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10072005/10072027/10072291.pdf?arnumber=10072291
Reference28 articles.
1. Gradient local auto-correlation features for depth human action recognition
2. Detection and Recognition of Abnormal Behaviour Patterns in Surveillance Videos using SVM Classifier;manjula;Proceedings of International Conference on Recent Trends in Computing Communication & Networking Technologies (ICRTCCNT) 2019,2019
3. Long-term recurrent convolutional network violent Behaviour recognition with attention mechanism
4. Silhouette Pose Feature-Based Human Action Classification Using Capsule Network
5. Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos;pawar;The Institute of Engineering and Technology,2021
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1. Single-Stage Related Object Detection for Intelligent Industrial Surveillance;IEEE Transactions on Industrial Informatics;2024
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