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Erschienen in:
A Hybrid Scatter Search Algorithm to Solve the Capacitated Arc Routing Problem with Refill Points Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Detection of Abnormal Event in Complex Situations Using Strong Classifier Based on BP Adaboost

verfasst von : Yuqi Zhang, Tian Wang, Meina Qiao, Aichun Zhu, Ce Li, Hichem Snoussi

Erschienen in: Intelligent Computing Theories and Application

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel CDN Strategy Adjustment System Based on AHP
Nächstes Kapitel A Comparative Study for the Effects of Noise on Illumination Invariant Face Recognition Algorithms
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Metadaten
Titel
Detection of Abnormal Event in Complex Situations Using Strong Classifier Based on BP Adaboost
verfasst von
Yuqi Zhang
Tian Wang
Meina Qiao
Aichun Zhu
Ce Li
Hichem Snoussi
Copyright-Jahr
2016
Buch
Intelligent Computing Theories and Application

Print ISBN: 978-3-319-42293-0

Electronic ISBN: 978-3-319-42294-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-42294-7_21