A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems

A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems

Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring system, and forest monitoring system. Hence, surveillance systems have become esp...

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Bibliographic Details
Main Authors: M. Adimoolam, Senthilkumar Mohan, John A., Gautam Srivastava
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2022-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
convolutional neural network (cnn)
machine learning
object detection
video surveillance
Online Access:https://www.ijimai.org/journal/bibcite/reference/3079

Internet

https://www.ijimai.org/journal/bibcite/reference/3079

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