Object Detection Using a YOLOv4 Model in Video Surveillance-Reference-Cited by-同舟云学术

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Object Detection Using a YOLOv4 Model in Video Surveillance

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Balamurugan G.¹,Arulalan V.¹,Premanand V.²

Affiliation:

1. SRM Institute of Science and Technology,Faculty of Engineering and Technology,Department of Computing Technologies,Kattankulathur,Tamil Nadu,India,603203

2. School of Computer Science and Engineering, Vellore Institute of Technology,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275782/10275807/10275864.pdf?arnumber=10275864

Reference15 articles.

1. Detecting objects in large image collections and videos by efficient subimage retrieval

2. Interactive visual object search through mutual information maximization

3. Efficient Visual Search of Videos Cast as Text Retrieval

4. Object retrieval and localization with spatially-constrained similarity measure and NN reranking;shen;Proc IEEE Conf Comput Vis Pattern Recog,2012

5. An integrated framework for abnormal event detection and video summarization using deep learning

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