VIDEO ANOMALY DETECTION USING BLOCK BASED APPROACH

Authors

  • Puttegowda D Dept. of CSE, ATME College of Engineering, Mysore
  • Anil Kumar C J Dept. of CSE, ATME College of Engineering, Mysore
  • Anil Kumar B H Dept. of CSE, ATME College of Engineering, Mysore

Keywords:

Video surveillance, optical flow, Discrete Cosine Transform, Discrete Wavelet Transform event detection

Abstract

Nowdays it is very important both in private and public environments to monitor activities in Video
surveillance applications . In this context, this paper presents a novel block-based approaches to detect abnormal event
situations by analyzing the pixel-wise motion context. We proceed using motion estimation techniques to characterize the
events at the pixel level. Optical flow is used to extract information such as density and velocity of motion. The proposed
approaches identifies abnormal motion variations in regions of motion activity based on the entropy of Discret e Cosine
Transform coefficients. We will report successful results on the detection of abnormal events in sample videos.

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Published

2015-06-25

How to Cite

Puttegowda D, Anil Kumar C J, & Anil Kumar B H. (2015). VIDEO ANOMALY DETECTION USING BLOCK BASED APPROACH. International Journal of Advance Engineering and Research Development (IJAERD), 2(6), 388–393. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/838

Issue

Vol. 2 No. 6 (2015): Volume 2 Issue 6, June 2015

Section

Articles