Survey of Intelligent Surveillance System using Image Processing and Deep Learning Techniques

Authors

  • Muskaan Patel Guru Gobind Singh Indraprastha University
  • Jai Sharma Guru Gobind Singh Indraprastha University
  • Utsav Garg Guru Gobind Singh Indraprastha University
  • Anurag Agarwal Guru Gobind Singh Indraprastha University

Abstract

Abstract

Closed-circuit television systems (CCTV) are becoming more and more pop- ular and are being deployed in many offices, housing estates and most public spaces. Thus, the job of CCTV operators is becoming very challenging as the footage contains a lot of information and gradually becomes cumbersome. Rapid advancement in the field of computer vision could be observed as an important trend in video surveillance and lead to substantial effi- ciency gains. Through this system of a neural network based intelligent intruders detection and track- ing system using Closed-Circuit Television (CCTV) images, we can inspect the various approaches and algorithms used to identify an inherent intruder and techniques to obliterate other non-threatening objects.

Keywords: CNN, R-CNN, VGG-16, SVM, N-Cut Clustering, SURF

Author Biographies

  • Muskaan Patel, Guru Gobind Singh Indraprastha University
    Information Technology
  • Jai Sharma, Guru Gobind Singh Indraprastha University
    Information Technology
  • Utsav Garg, Guru Gobind Singh Indraprastha University
    Information Technology
  • Anurag Agarwal, Guru Gobind Singh Indraprastha University
    Information Technology

Published

2021-01-23

Issue

Vol. 11 No. 3 (2020)

Section

Articles

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