Detection of abnormal event in complex situations using strong classifier based on BP Adaboost

Yuqi Zhang; Tian Wang; Meina Qiao; Aichun Zhu; Ce Li; Hichem Snoussi

doi:10.1007/978-3-319-42294-7_21

Detection of abnormal event in complex situations using strong classifier based on BP Adaboost

Yuqi Zhang
, Tian Wang^*
, Meina Qiao
, Aichun Zhu
, Ce Li
, Hichem Snoussi

^*Corresponding author for this work

School of Artificial Intelligence(Institute of Artificial Intelligence)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings
Editors	De-Shuang Huang, Kang-Hyun Jo
Publisher	Springer Verlag
Pages	245-256
Number of pages	12
ISBN (Print)	9783319422930
DOIs	https://doi.org/10.1007/978-3-319-42294-7_21
State	Published - 2016
Event	12th International Conference on Intelligent Computing Theories and Application, ICIC 2016 - Lanzhou, China Duration: 2 Aug 2016 → 5 Aug 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9772
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Intelligent Computing Theories and Application, ICIC 2016
Country/Territory	China
City	Lanzhou
Period	2/08/16 → 5/08/16

Keywords

Abnormal detection
BP Adaboost
Optical flow

Access to Document

10.1007/978-3-319-42294-7_21

Cite this

Zhang, Y., Wang, T., Qiao, M., Zhu, A., Li, C., & Snoussi, H. (2016). Detection of abnormal event in complex situations using strong classifier based on BP Adaboost. In D.-S. Huang, & K.-H. Jo (Eds.), Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings (pp. 245-256). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9772). Springer Verlag. https://doi.org/10.1007/978-3-319-42294-7_21

Zhang, Yuqi ; Wang, Tian ; Qiao, Meina et al. / Detection of abnormal event in complex situations using strong classifier based on BP Adaboost. Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings. editor / De-Shuang Huang ; Kang-Hyun Jo. Springer Verlag, 2016. pp. 245-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@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 Theories and Application, 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "245--256",

editor = "De-Shuang Huang and Kang-Hyun Jo",

booktitle = "Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings",

address = "德国",

}

Zhang, Y, Wang, T, Qiao, M, Zhu, A, Li, C & Snoussi, H 2016, Detection of abnormal event in complex situations using strong classifier based on BP Adaboost. in D-S Huang & K-H Jo (eds), Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9772, Springer Verlag, pp. 245-256, 12th International Conference on Intelligent Computing Theories and Application, ICIC 2016, Lanzhou, China, 2/08/16. https://doi.org/10.1007/978-3-319-42294-7_21

Detection of abnormal event in complex situations using strong classifier based on BP Adaboost. / Zhang, Yuqi; Wang, Tian; Qiao, Meina et al.
Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings. ed. / De-Shuang Huang; Kang-Hyun Jo. Springer Verlag, 2016. p. 245-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9772).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of abnormal event in complex situations using strong classifier based on BP Adaboost

AU - Zhang, Yuqi

AU - Wang, Tian

AU - Qiao, Meina

AU - Zhu, Aichun

AU - Li, Ce

AU - Snoussi, Hichem

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Abnormal detection

KW - BP Adaboost

KW - Optical flow

UR - https://www.scopus.com/pages/publications/84978924098

U2 - 10.1007/978-3-319-42294-7_21

DO - 10.1007/978-3-319-42294-7_21

M3 - 会议稿件

AN - SCOPUS:84978924098

SN - 9783319422930

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 245

EP - 256

BT - Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings

A2 - Huang, De-Shuang

A2 - Jo, Kang-Hyun

PB - Springer Verlag

T2 - 12th International Conference on Intelligent Computing Theories and Application, ICIC 2016

Y2 - 2 August 2016 through 5 August 2016

ER -

Zhang Y, Wang T, Qiao M, Zhu A, Li C, Snoussi H. Detection of abnormal event in complex situations using strong classifier based on BP Adaboost. In Huang DS, Jo KH, editors, Intelligent Computing Theories and Application - 12th International Conference, ICIC 2016, Proceedings. Springer Verlag. 2016. p. 245-256. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-42294-7_21

Detection of abnormal event in complex situations using strong classifier based on BP Adaboost

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Keywords

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