@inproceedings{a6ebf1cbb62f4fd48ee70224e00a3c02,
title = "Joint abnormal blob detection and localization under complex scenes",
abstract = "In this paper, an algorithm is proposed to detect the abnormal event in the form of rectangular blob in global images. Observing the status of the varying blobs, unusual behavior can be monitored and alarmed. A method extracting blobs from crowded video scenes is proposed, the covariance matrix descriptor fuses the image intensity and the optical flow to encode moving information and image characteristics of a blob. After characterizing normal behaviors of blobs or frames in a learning period, the nonlinear one-class SVM algorithm locates the abnormal blobs intra frame. The method is applied to detect abnormal events on several video surveillance datasets, and get promising results.",
keywords = "Abnormal blob localization, Blob extraction, Covariance matrix descriptor, One-class SVM",
author = "Tian Wang and Keyu Lai and Ce Li and Hichem Snoussi",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Conference on Intelligent Computing, ICIC 2015 ; Conference date: 20-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.1007/978-3-319-22180-9\_28",
language = "英语",
isbn = "9783319221793",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "283--292",
editor = "De-Shuang Huang and Vitoantonio Bevilacqua and Prashan Premaratne",
booktitle = "Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings",
address = "德国",
}