Suspicious Activity Detection using LRCN-Reference-Cited by-同舟云学术

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Suspicious Activity Detection using LRCN

Published:2023-01-23 Issue: Volume: Page:
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Container-title:2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

V Benedict Vinusha¹,Indhuja V¹,Reddy Medarametla Varshitha¹,Nikhitha Nagalla¹,Pramila Priyanka¹

Affiliation:

1. R.M.K. Engineering College,Department of Artificial Intelligence and Data Science,Kavaraipettai,India,601206

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059461/10060864/10061045.pdf?arnumber=10061045

Reference20 articles.

1. ReHAR: robust and efficient human activity recognition;li;IEEE Winter Conference on Applications of Computer Vision,2018

2. Human activity recognition framework using max--min features and key poses with differential evolution random forests classifier;peixoto;Pattern Recogn Lett,2017

3. Features selection for human activity recognition with iPhone inertial sensors;nuno;Portuguese conference on Artificial Intelligence,2013

Cited by 2 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. Abandoned Object Detection and Classification Using Deep Embedded Vision;IEEE Access;2024

2. Enhancing Human Action Recognition in High-Resolution Videos using ConvLSTM and LRCN model;2023 4th International Conference on Communication, Computing and Industry 6.0 (C216);2023-12-15

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