Workshop on Crowd Understanding
When : 2016-10-08
Where : Amsterdam, the Netherlands
Submission Deadline : 2016-06-01
Categories : Computer Science & Information Technology , Information Technology Management
Workshop on Crowd Understanding (ECCV 2016)
Oct 8, 2016 - Oct 9, 2016
Amsterdam
Call For Papers
The International Workshop on Crowd Understanding aims to bring together people from academic/scientific and industrial/business communities active in computer vision and video surveillance fields in order to initiate a discussion regarding the state of the art, outlooks and challenges in the field with an accent on the business aspects of the technologies.
Fast increasing hardware capabilities, growing data bandwidth and falling costs cause surveillance cameras to be deployed in large quantities, inducing a strong need for automated processing with an ultimate goal of scene understanding. Despite the significant effort of the Computer Vision scientific community, the state of the art video surveillance automation is based on tracking individual persons in sparsely crowded environments while automated understanding of crowded scenes remains an unsolved problem. Being an unsolved problem in scientific research, it also represents a missing piece in commercial automated video surveillance systems. There it also represents a high potential for commercialization – the large amount of surveillance cameras causes either cognitive overload of security operators or increased operating costs creating a strong and urgent need for automation.
Topics
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Novel Crowd Understanding Techniques
Detection and tracking of crowd
Recognition and detection of crowd behavior
Single camera people detection and tracking in crowded environments
Multi camera people detection and tracking in crowded environments
Abnormality detection in crowd
People re-identification in crowded scenes
Crowd analytics, such as density estimation
F-formation recognition
Novel sensors and surveillance system architecture for crowd understanding
Crowd datasets
Business and societal aspects of crowd surveillance
Other computer vision topics related to crowd monitoring