Fight Detection in surveillance video dataset versus real time surveillance video using 3DCNN and CNN-LSTM-Reference-Cited by-同舟云学术

Fight Detection in surveillance video dataset versus real time surveillance video using 3DCNN and CNN-LSTM

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer, Power and Communications (ICCPC)
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Author:

M Shanmughapriya¹,S Gunasundari²,Fenitha Josephine Ruth¹,R Sanchana¹

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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