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An approach to detect crowd panic behavior using flow-based feature
2016
2016 22nd International Conference on Automation and Computing (ICAC)
With the purpose of achieving automated detection of crowd abnormal behavior in public, this paper discusses the category of typical crowd and individual behaviors and their patterns. Popular image features for abnormal behavior detection are also introduced, including global flow based features such as optical flow, and local spatio-temporal based features such as Spatio-temporal Volume (STV). After reviewing some relative abnormal behavior detection algorithms, a brandnew approach to detect
doi:10.1109/iconac.2016.7604963
dblp:conf/iconac/HaoXWLF16
fatcat:6br2jcxswrdejbnyvy7as3kuva