Suspicious Activity Trigger System using YOLOv6 Convolutional Neural Network-Reference-Cited by-同舟云学术

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Suspicious Activity Trigger System using YOLOv6 Convolutional Neural Network

Published:2023-02-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Awang Suryanti¹,Rafiqi Rokei Mohd Qhairel²,Sulaiman Junaida²

Affiliation:

1. Universiti Malaysia Pahang,Faculty of Computing Center of Excellence for Artificial Intelligence & Data Science,Pekan,Pahang,Malaysia

2. Universiti Malaysia Pahang,Faculty of Computing,Pekan,Pahang,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066849/10066958/10066970.pdf?arnumber=10066970

Reference12 articles.

1. Deep Learning Approach for Suspicious Activity Detection from Surveillance Video

2. Suspicious Activity Detection from Videos using YOLOv3

3. A optimized YOLO method for object detection

4. Artificial Intelligence for Low Level Suspicious Activity Detection

5. Automated Toll Collection System based on Vehicle Type Classification using Sparse-Filtered Convolutional Neural Networks with Layer-Skipping Strategy (SF-CNNLS)

Cited by 1 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. Pattern Recognition Algorithm to Detect Suspicious Activities;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

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