posted by user: amauryd || 4101 views || tracked by 8 users: [display]

ECCV 2016 : Workshop on Crowd Understanding ECCV 16: Call for papers

FacebookTwitterLinkedInGoogle

Link: http://www.crowd-understanding.eu/
 
When Oct 8, 2016 - Oct 9, 2016
Where Amsterdam
Submission Deadline Jun 1, 2016
Notification Due Jul 4, 2016
Final Version Due Jul 25, 2016
Categories    computer vision   people tracking   crowd understanding
 

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.

We invite the submission of high quality manuscripts describing unpublished work from researchers and practitioners who are active in the following areas:

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

Papers describing novel solutions which have real potential for business exploitation are particularly encouraged.


Organizers:

François Brémond, INRIA Sophia Antipolis.
Vít Líbal, Honeywell ACS Global Labs Prague
Andrea Cavallaro, Queen Mary University of London.
Tomas Pajdla, Czech Technical University in Prague.
Petr Palatka, Neovision s.r.o.

Related Resources

ECOOP 2021   Call for papers: 35th European Conference on Object-Oriented Programming
CCVPR 2020   2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020)
DLRS 2021   Call for Papers: Topical Issue on Deep Learning for Recommender Systems
ICRMV--EI, Scopus 2021   2021 The 5th International Conference on Robotics and Machine Vision (ICRMV 2021)--Ei Compendex, Scopus
CONF-CDS 2021   The 2nd International Conference on Computing and Data Science (CONF-CDS 2021) Call for Papers
CBDA 2021   2nd International Conference on Big Data
ChaLearn FairFaceRec Challenge 2020   ECCV 2020 ChaLearn Looking at People Fair Face Recognition Workshop and Challenge
VISAPP 2021   16th International Conference on Computer Vision Theory and Applications
WiCV@ECCV 2020   8th Women in Computer Vision Workshop at CVPR 2020
AIM 2020   ECCV 2020 - Advances in Image Manipulation workshop and challenges