Role Identification from Human Activity Videos using Recurrent Neural Networks-Reference-Cited by-同舟云学术

Role Identification from Human Activity Videos using Recurrent Neural Networks

Published:2022-12-30 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
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Author:

Arshad Anam¹,Tiwari Vivek¹,Lovanshi Mayank¹,Shrivastava Rahul²

Affiliation:

1. International Institute of Information Technology (IIIT),Department of Computer Science & Engineering,Naya Raipur,India

2. Sagar Institute of Science, Technology & Research,Department of Computer Science & Engineering,Bhopal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150428/10150460/10150907.pdf?arnumber=10150907

Reference23 articles.

1. A Hierarchical Deep Temporal Model for Group Activity Recognition

2. SBGAR: Semantics Based Group Activity Recognition

3. LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example

4. Motion-compensated online object tracking for activity detection and crowd behavior analysis;patel;The Visual Computer,2022

5. Cern: confidence-energy recurrent network for group activity recognition;shu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

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