Real-Time Human Detection for Intelligent Video Surveillance: An Empirical Research and In-depth Review of its Applications-Reference-Cited by-同舟云学术

Real-Time Human Detection for Intelligent Video Surveillance: An Empirical Research and In-depth Review of its Applications

Published:2023-03-07 Issue:3 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Usha Rani J.,Raviraj P.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01654-4.pdf

Reference37 articles.

1. Teddy K. A survey on behavior analysis in video surveillance applications, video surveillance, Prof. Weiyao Lin (Ed.), ISBN: 978-953-307-436-8, 2011. Available: http://www.intechopen.com/books/videosurveillanc-e/a-survey-on-behavior-analysis-in-video-surveillanceapplications.

2. Pawan Kumar Mishra Uttrakhand Technical University Dehradun, INDIA, G. P. Saroha Maharshi Dayanand University Rohtak. INDIA a study on video surveillance system for object detection and tracking. In: Proceedings of the 10th INDIACom; INDIACom-2016; IEEE Conference ID: 37465 2016 3rd International Conference on “Computing for Sustainable Global Development”, 16th–18th March, 2016.

3. Aishwarya Singh, 2019, September 4, Feature Engineering for images: a valuable Introduction of the HOG feature descriptor. https://www.analyticsvidhya.com/blog/2019/09/feature-engineering-images-introduction-hog-feature-descriptor.

4. ODSC, Open Data Science. Overview of YOLO object detection Algorithm. 2018. obetectionalgorithm7b52a745d3e0#:~:text=YOLO%20is%20a%20clever%20convolutional,and%20prob abilities%20for %20each%20region.

5. Human Detection and Tracking for Video Surveillance. A cognitive science approach, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Date of Conference: 22–29 October 2017. https://doi.org/10.1109/ICCVW.2017.330.

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