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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Morris, G & Angelov, P 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, pp. 537-543 , 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014), San Diego, United States, 5/10/14. https://doi.org/10.1109/SMC.2014.6973963

APA

Morris, G., & Angelov, P. (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) (pp. 537-543 ). IEEE Press. https://doi.org/10.1109/SMC.2014.6973963

Vancouver

Morris G, Angelov P. 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. 2014. p. 537-543 doi: 10.1109/SMC.2014.6973963

Author

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

Bibtex

@inproceedings{3ab6436428ce43b287b592b44e11d8fc,
title = "Real-time novelty detection in video using background subtraction techniques: state of the art a practical review",
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.",
keywords = "novelty, background subtraction, real-time, pixel-wise",
author = "Gruff Morris and Plamen Angelov",
note = "Date of Acceptance: 04/06/2014; 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014) ; Conference date: 05-10-2014 Through 08-10-2014",
year = "2014",
month = oct,
day = "8",
doi = "10.1109/SMC.2014.6973963",
language = "English",
isbn = "9781479938407",
pages = "537--543 ",
booktitle = "2014 IEEE International Conference on Systems, Man and Cybernetics (SMC)",
publisher = "IEEE Press",

}

RIS

TY - GEN

T1 - Real-time novelty detection in video using background subtraction techniques

T2 - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014)

AU - Morris, Gruff

AU - Angelov, Plamen

N1 - Date of Acceptance: 04/06/2014

PY - 2014/10/8

Y1 - 2014/10/8

N2 - 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.

AB - 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.

KW - novelty

KW - background subtraction

KW - real-time

KW - pixel-wise

U2 - 10.1109/SMC.2014.6973963

DO - 10.1109/SMC.2014.6973963

M3 - Conference contribution/Paper

SN - 9781479938407

SP - 537

EP - 543

BT - 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC)

PB - IEEE Press

Y2 - 5 October 2014 through 8 October 2014

ER -