Real-time novelty detection in video using background subtraction techniques:state of the art a practical review

Morris, Gruff and Angelov, Plamen (2014) Real-time novelty detection in video using background subtraction techniques:state of the art a practical review. In: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE Press, USA, pp. 537-543. ISBN 9781479938407

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Abstract

Autonomously detecting novelties using background subtraction has quickly become a very important area of image analysis with many different approaches to novelty detection and the output therein. The ultimate goal of the approaches is to be robust to false detections and noise whilst using as little computational power as possible. This review focuses on some of the most prominent pixel-wise background subtraction techniques currently in use, and compares and contrasts their attributes and capabilities. The purpose of this review is to practically summarize the pixel-wise approaches and suggest a way forward from these techniques.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Date of Acceptance: 04/06/2014
Subjects:
ID Code:
72786
Deposited By:
Deposited On:
30 Jan 2015 11:32
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Jan 2020 07:00