2015 the 1st
International Workshop on Emerging Techniques on Big
Surveillance Data Analysis
April 20-22, 2015 •
Beijing, China
With the rapid growth of video
surveillance applications and services, the amount of
surveillance videos has become extremely "big" which
makes human monitoring difficult to handle. Therefore,
there exists huge demand on smart surveillance
techniques which can perform monitoring in an automatic
or semi-automatic way. On one hand, with the huge amount
of surveillance videos in the storage, video analysis
techniques such as event detection, action recognition,
and video summarization are of increasing importance in
applications including events-of-interest retrieval and
abnormality detection. On the other hand, with the rapid
growth from the static centric-based processing to the
dynamic collaborative computing and processing among
distributed video processing nodes or cameras, new
challenges such as multi-camera joint analysis, human
re-identification, and distributed video processing are
being issued in front of us. The requirement of these
challenges is to extend the existing approaches or
explore new suitable techniques.
This workshop is
intended to provide a forum for researchers and
engineers to present their latest innovations and share
their experiences on all aspects of design and
implementation of new surveillance video analysis and
parsing techniques. Topics of interests include, but are
not limited to:
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Event detection, action recognition, and activity analysis in surveillance videos
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Multi-camera joint analysis and recognition
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Object detection and tracking in surveillance videos
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Recognition and parsing of crowded scenes
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Human re-identification
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Summarization and synopsis on surveillance videos
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Surveillance scene parsing, segmentation, and analysis
IMPORTANT DATES
Submit Workshop Paper
(up to 8 pages) by: Dec. 30, 2014
Notification of
Workshop Paper Acceptance: Jan. 22, 2015
Workshop Camera-Ready
Paper Due: Jan. 30, 2015
ORGANIZORS
Weiyao Lin, Shanghai Jiao Tong University, China
Wanli Ouyang, The Chinese University of Hong Kong, Hong Kong
Wei-Shi Zheng, Sun Yat-Sen University, China
Hongsheng Li, University of Electronic Science and Technology of China, China
CONTACT
