A Survey on Abnormality Detection at Public Places

Authors

  • Thummar Bansari Dept. of Information Technology, G. H. Patel College of Engineering & Technology
  • Prof. Yogesh Dangar Dept. of Information Technology, G. H. Patel College of Engineering & Technology
  • Prof. Jayandrath Mangrolia Dept. of Information Technology, A D. Patel Institute of Technology

Keywords:

Video Surveillance; Computer Vision; Histogram of Gradients (HOG); ADABOOST; HOF (Histogram of Optic Flow).

Abstract

Human behaviour and activity for recognition or detection of special event has attracted significant research
interest in recent years. This paper presents not only updates of previous related surveys, but also a focus on contextual
abnormal human behaviour detection especially video surveillance applications at public places. There are many public places
where need to keep track of activities and need to put security system for protecting such public places. This paper highlights
some of major works which have been done in past.

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Published

2017-03-25

How to Cite

Thummar Bansari, Prof. Yogesh Dangar, & Prof. Jayandrath Mangrolia. (2017). A Survey on Abnormality Detection at Public Places. International Journal of Advance Research in Engineering, Science & Technology, 4(3), 148–151. Retrieved from https://ijarest.org/index.php/ijarest/article/view/860

Issue

Vol. 4 No. 3 (2017): Volume: 04, Issue: 03 - March, 2017.

Section

Articles