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Abnormal crowd behavior detection using social force model
Abnormal crowd behavior detection using social force model,10.1109/CVPRW.2009.5206641,A Oyama,M Shah
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Abnormal crowd behavior detection using social force model
(
Citations: 40
)
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A Oyama
,
M Shah
Conference:
Computer Vision and Pattern Recognition - CVPR
, pp. 935-942, 2009
DOI:
10.1109/CVPRW.2009.5206641
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www.informatik.uni-trier.de
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longwood.cs.ucf.edu
)
(
doi.ieeecomputersociety.org
)
Citation Context
(38)
...Input representations are typically either object centric—in the form of tracks [7], [8], [9]—or pixel centric—in the form of low-level pixel [10], texture [11], or optical flow [12], [
13
], [3], [14], [15] data...
Timothy M. Hospedales
,
et al.
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic...
...In computer vision, the attempt to detect abnormal events with the social force model is reported in [
7
]...
Kota Yamaguchi
,
et al.
Who are you with and where are you going?
...Recently, Mehran et al [
9
] introduced social force model to abnormal detection...
Honghong Liao
,
et al.
An Abnormal Event Recognition in Crowd Scene
...Recently, Mehran et al. [
14
] propose a method to model behaviors among a group of people...
...Scenes in this dataset are crowded, with about 20 people walking around. We follow the same setup as in [
14
]...
...As in [
14
], we take optical flow features as the baseline...
...The results of Social Force, Optical Flow are directly obtained from their papers [
14
, 27]...
...We compare our method with the optical flow based method and Mehran et al.’s method [
14
]...
...Comparison of our method (green line) with Social Force [
14
] and Optical Flow...
Xinyi Cui
,
et al.
Abnormal detection using interaction energy potentials
...Representative publications include [2], [3], [4], [
5
], [6]...
Xuan Song
,
et al.
A novel laser-based system: Fully online detection of abnormal activit...
References
(28)
A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis
(
Citations: 42
)
M Shah
Conference:
Computer Vision and Pattern Recognition - CVPR
, 2007
Floor fields for tracking in high density crowd scenes
(
Citations: 46
)
M Shah
Conference:
European Conference on Computer Vision - ECCV
, pp. 1-14, 2008
Real-time Navigation of Independent Agents using Adaptive Roadmaps
(
Citations: 24
)
Russell Gayle
,
Avneesh Sud
,
Erik Andersen
,
Stephen J. Guy
,
Ming C. Lin
,
Dinesh Manocha
Conference:
Virtual Reality Software and Technology - VRST
, pp. 99-106, 2009
Crowd analysis: a survey
(
Citations: 30
)
Beibei Zhan
,
Dorothy N. Monekosso
,
Paolo Remagnino
,
Sergio A. Velastin
,
Li-qun Xu
Journal:
Machine Vision and Applications - MVA
, vol. 19, no. 5-6, pp. 345-357, 2008
Unsupervised Bayesian Detection of Independent Motion in Crowds
(
Citations: 75
)
Gabriel J. Brostow
,
Roberto Cipolla
Conference:
Computer Vision and Pattern Recognition - CVPR
, vol. 1, pp. 594-601, 2006
Sort by:
Citations
(40)
Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model
Timothy M. Hospedales
,
Jian Li
,
Shaogang Gong
,
Tao Xiang
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence - PAMI
, vol. 33, no. 12, pp. 2451-2464, 2011
Who are you with and where are you going?
Kota Yamaguchi
,
Alexander C. Berg
,
Luis E. Ortiz
,
Tamara L. Berg
Conference:
Computer Vision and Pattern Recognition - CVPR
, pp. 1345-1352, 2011
An Abnormal Event Recognition in Crowd Scene
Honghong Liao
,
Jinhai Xiang
,
Weiping Sun
,
Qing Feng
,
Jianghua Dai
Conference:
International Conference on Image and Graphics - ICIG
, 2011
Abnormal detection using interaction energy potentials
Xinyi Cui
,
Qingshan Liu
,
Mingchen Gao
,
Dimitris N. Metaxas
Conference:
Computer Vision and Pattern Recognition - CVPR
, pp. 3161-3167, 2011
A novel laser-based system: Fully online detection of abnormal activity via an unsupervised method
Xuan Song
,
Xiaowei Shao
,
Ryosuke Shibasaki
,
Huijing Zhao
,
Jinshi Cui
,
Hongbin Zha
Conference:
International Conference on Robotics and Automation - ICRA
, pp. 1317-1322, 2011