[visionlist] CFP: WACV'23 workshop on Real-World Surveillance: Applications and Challenges

Kamal Nasrollahi kn at create.aau.dk
Wed Sep 7 09:51:44 -04 2022

3rd workshop on Real-World Surveillance: Applications and Challenges
in conjunction with the
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 (https://wacv2023.thecvf.com)
3rd Jan 2022
Waikoloa, Hawaii, USA

Computer vision methods trained on public databases demonstrate performance drift when deployed for real-world surveillance, compared to their initial results on the test set of those employed databases. In this workshop, we are interested in papers reporting their experimental results on any application of computer vision in real-world surveillance, challenges they have faced, and their mitigation strategy on topics like, but not limited to:
• Object detection
• Tracking
• Anomaly detection
• Scene understanding
• Super-resolution
• Multimodal surveillance

Furthermore, the workshop has a special attention to legal and ethical issues of computer vision applications in real-world scenarios. We therefore also welcome papers describing their methodology and experimental results on legal matters (like GDPR) or ethical concerns (like detecting bias towards gender, race, or other characteristics and mitigating strategies). The workshop also includes a competition on re-identification.

Important Dates
Submission: October 20
Decision notification: November 15
Camera ready: November 17

Keynote Speakers:
Mats Thulin, Director of the Computer Vision and Director of Core Technology, AXIS Communications AB, Sweden
Topic: Analytics performance in challenging video surveillance scenes

Chen Chen, Assistant Professor, UCF, USA Michigan State University, USA
Topic: Privacy-preserving video analysis

Jack Cooper, Program Manager, Intelligence Advanced Research Projects Activity (IARPA)
Topic: Deep Intermodal Video Analytics

Cees G.M. Snoek, Professor in Computer Science, University of Amsterdam, Netherlands
Topic: Video surveillance with trustworthiness built-in

Kamal Nasrollahi,
Aalborg University, Denmark
Milestones Systems, Denmark

Sergio Escalera Guerrero
Universitat de Barcelona, Spain
Universitat Oberta de Catalunya, Spain
Aalborg University, Denmark

Radu Ionescu
University of Bucharest, Romania

Fahad Shahbaz Khan
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
Linköping University, Sweden

Thomas Moeslund
Aalborg University, Denmark

Anthony Hoogs
Kitware, USA

Shmuel Peleg
Hebrew University, Israel

Mubarak Shah
University of Central Florida, USA

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