Dynamic Objects Detection and Tracking from Videos for Surveillance Applications-Reference-Cited by-同舟云学术

Dynamic Objects Detection and Tracking from Videos for Surveillance Applications

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Gobhinath S.¹,Sophia S.²,Karthikeyan S.³,Janani K.¹

Affiliation:

1. Dr.N.G.P. Instiutute of Tecnology,Department of EEE,Coimbatore

2. SKCET,Department of ECE,Coimbatore

3. SKCET,Department of EEE,Coimbatore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784926/9784957/09785200.pdf?arnumber=9785200

Reference10 articles.

1. Convolutional Neural Networks Based Fire Detection in Surveillance Videos;khan;IEEE Access,2018

2. Detection of unwanted traffic congestion based on existing surveillance system using in freeway via a CNN-architecture trafficnet

3. Model-based approach to spatial–temporal sampling of video clips for video object detection by classification

4. Secrets of optical flow estimation and their principles;d;IEEE Conference on Computer Vision and Pattern Recognition,0

5. A large scale dataset for classification of vehicles in urban traffic scenes;biswas;Proceedings of Indian Conference on Computer Vision Graphics and Image Processing,0

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