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

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Published
Publication date8/10/2014
Host publication2014 IEEE International Conference on Systems, Man and Cybernetics (SMC)
PublisherIEEE Press
Pages537-543
Number of pages7
ISBN (Print)9781479938407
Original languageEnglish
Event2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014) - San Diego, United States
Duration: 5/10/20148/10/2014

Conference

Conference2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014)
CountryUnited States
CitySan Diego
Period5/10/148/10/14

Conference

Conference2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014)
CountryUnited States
CitySan Diego
Period5/10/148/10/14

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.

Bibliographic note

Date of Acceptance: 04/06/2014