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Crowd Event Recognition using HOG Tracker
Abstract : The recognition in real time of crowd dynamics in public places are becoming essential to avoid crowd related disasters and ensure safety of people. We present in this paper a new approach for Crowd Event Recognition. Our study begins with a novel tracking method, based on HOG descriptors, to finally use pre-defined models (i.e. crowd scenarios) to recognize crowd events. We define these scenarios using statistics analysis from the data sets used in the experimentation. The approach is characterized by combining a local analysis with a global analysis for crowd behavior recognition. The local analysis is enabled by a robust tracking method, and global analysis is done by a scenario modeling stage.
Cited literature [18 references]
https://hal.inria.fr/inria-00515197
Contributor : Piotr Bilinski <>
Submitted on : Friday, December 14, 2012 - 7:58:09 PM
Last modification on : Thursday, February 11, 2021 - 2:56:34 PM
Long-term archiving on: : Friday, March 15, 2013 - 3:52:59 AM
Contributor : Piotr Bilinski <>
Submitted on : Friday, December 14, 2012 - 7:58:09 PM
Last modification on : Thursday, February 11, 2021 - 2:56:34 PM
Long-term archiving on: : Friday, March 15, 2013 - 3:52:59 AM
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