Robust techniques for abandoned and removed object detection based on Markov random field
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- 作者：Chih-Yang Lina ; b ; Kahlil Muchtarc ; Chia-Hung Yehc ; yeh@mail.ee.nsysu.edu.tw" class="auth_mail" title="E-mail the corresponding author
- 关键词：Abandoned object detection ; Background modelling ; GMM ; Markov random field
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：39
- 期：Complete
- 页码：181-195
- 全文大小：3554 K
文摘
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A novel framework for detecting abandoned objects with automatic GrabCut is presented.
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The Background (BG) distribution is constructed with dual Gaussian mixtures.
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Our system can obtain more robust results for CAVIAR, PETS2006 & CDnet 2014 datasets.