Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Study on Anomaly Detection in Crowd Scene

Authors
Jun Zhang, Yunxia Chu
Corresponding Author
Jun Zhang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.122How to use a DOI?
Keywords
Crowd Scene, Anomaly detection, Bag-of-words, Probabilistic Latent Semantic Analysis(PLSA), Interest Points
Abstract
Anomaly detection technology in crowd scene is very important in public place. Crowd detection differs from pedestrian detection which we assume no individual pedestrian can be properly segmented in the image. We propose a scheme which the scen can be treated the crowd motion patterns as the spatial-temporal domain. In the classification stage, we divide whole frame into small blocks, and motion pattern in each block is encoded by the distribution of motion bags in it. PLSA classifier is proposed to infer classification of crowed detection, and we classify motion pattern into normal or abnormal group according to the deviation between motion pattern and train model. The comprehensive implementation can detect crowd in real-time. This paper presents an approach to automatically detect abnormal behavior in crowd scene with Interest points to represent moving objects to generate word of bags, which are used to describe crowed moriment results show that the speed of detection has been greatly improved using our approach.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.122How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jun Zhang
AU  - Yunxia Chu
PY  - 2015/12
DA  - 2015/12
TI  - Study on Anomaly Detection in Crowd Scene
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icmmcce-15.2015.122
DO  - https://doi.org/10.2991/icmmcce-15.2015.122
ID  - Zhang2015/12
ER  -