TY - GEN
T1 - An effective video processing pipeline for crowd pattern analysis
AU - Hao, Yu
AU - Xu, Zhijie
AU - Wang, Jing
AU - Liu, Ying
AU - Fan, Jiulun
N1 - Publisher Copyright:
© 2017 Chinese Automation and Computing Society in the UK - CACSUK.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion 'textures' from dynamic Spatio-Temporal Volume (STV) blocks formulated by live video streams has been proposed. This paper starts from introducing the common approach for STV construction and corresponding Spatio-Temporal Texture (STT) extraction techniques. Next the crowd motion information contained within the random STT slices are evaluated based on the information entropy theory to cull the static background and noises occupying most of the STV spaces. A preprocessing step using Gabor filtering for improving the STT sampling efficiency and motion fidelity has been devised and tested. The technique has been applied on benchmarking video databases for proof-of-concept and performance evaluation. Preliminary results have shown encouraging outcomes and promising potentials for its real-world crowd monitoring and control applications.
AB - With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion 'textures' from dynamic Spatio-Temporal Volume (STV) blocks formulated by live video streams has been proposed. This paper starts from introducing the common approach for STV construction and corresponding Spatio-Temporal Texture (STT) extraction techniques. Next the crowd motion information contained within the random STT slices are evaluated based on the information entropy theory to cull the static background and noises occupying most of the STV spaces. A preprocessing step using Gabor filtering for improving the STT sampling efficiency and motion fidelity has been devised and tested. The technique has been applied on benchmarking video databases for proof-of-concept and performance evaluation. Preliminary results have shown encouraging outcomes and promising potentials for its real-world crowd monitoring and control applications.
KW - Crowd pattern analysis
KW - Gabor filtering
KW - Information entropy
KW - Spatio-Temporal Texture
KW - Spatio-Temporal Volume
UR - http://www.scopus.com/inward/record.url?scp=85040013202&partnerID=8YFLogxK
U2 - 10.23919/IConAC.2017.8082025
DO - 10.23919/IConAC.2017.8082025
M3 - Conference Proceeding
AN - SCOPUS:85040013202
T3 - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing
BT - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
A2 - Zhang, Jie
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Conference on Automation and Computing, ICAC 2017
Y2 - 7 September 2017 through 8 September 2017
ER -