@inproceedings{5037a6638ee24b69a7685db47243eedc,
title = "Detection of abnormal event in complex situations using strong classifier based on BP Adaboost",
abstract = "In order to recognize the abnormal event, such as emergency or panic, happened in public scenes timely, an algorithm based on features extraction and BP Adaboost to detect abnormal frame event from surveillance video of complex situation is proposed. The proposed method detects an abnormal event where people are running, and this panic situation is simulated by the frame in a video. Experiments show that the method can distinguish and detect the abnormal event effectively and efficiently, which has potentiality to be used in the real public monitoring.",
keywords = "Abnormal detection, BP Adaboost, Optical flow",
author = "Yuqi Zhang and Tian Wang and Meina Qiao and Aichun Zhu and Ce Li and Hichem Snoussi",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 12th International Conference on Intelligent Computing, ICIC 2016 ; Conference date: 02-08-2016 Through 05-08-2016",
year = "2016",
doi = "10.1007/978-3-319-42294-7\_21",
language = "英语",
isbn = "9783319422930",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "245--256",
editor = "De-Shuang Huang and Kang-Hyun Jo",
booktitle = "Intelligent Computing - 12th International Conference, ICIC 2016, Proceedings",
address = "德国",
}