Real-World Surveillance: Applications and Challenges Workshop (RWS @ WACV2022)

Waikoloa, Hawaii

See the program

Call for Papers

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).

Important Dates

Submission: October 15 extended to October 24
Decision notification: November 5 extended to November 9
Camera ready: November 12


Submitted papers are handled via CMT at the following link: Paper submission
Paper template and guidelines for the workshop are similar to those of WACV and they can be found here.

Best Paper Award will be sponsored by Milestone Systems A/S

Milestone Systems - translate plus

Keynote Speakers

Barry Norton,
Vice President of Research,
Milestone Systems A/S,

Topic: Multimodal Anomaly Detection

With a long track record of collaborative research and innovation in technology, focused on big data analytics and AI/machine learning, Barry, with a PhD in knowledge representation, has driven impact in academia, public institutions and private enterprise, and built collaborative networks across them. He is Vice President of Research at Milestone Systems and has raised and managed combined research budgets of several tens of millions of Euros.

Aron Ross,
CILLAG Endowed Chair Professor,
Computer Science & Engineering,
Michigan State University,

Topic: Face Recognition and Surveillance: Enhancing Privacy and Fairness

Arun Ross is the John and Eva Cillag Endowed Chair in the College of Engineering and a Professor in the Department of Computer Science and Engineering at Michigan State University. He also serves as the Site Director of the NSF Center for Identification Technology Research (CITeR) and the Director of the iPRoBe Lab. Prior to joining MSU in 2013, he was a faculty member at West Virginia University (WVU) from 2003 to 2012.

Igal Dvir,
Vice President of Technology and Product,

Topic: Deep Learning in the Service of Video Investigations

Igal Dvir is VP of Technology and Product at BriefCam. He has 25 years’ experience in Computer Vision, Machine Learning, Deep Learning, Video Technologies, and System Architecture. His previous roles include CTO and VP R&D at NICE Systems, VP Products at DVTel and HTS, Director of Innovation Garage at Tyco/JCI, and most recently, head of Computer Vision for Autonomous Systems with Rafael Advanced Defense Systems. Igal is the holder of over a dozen patents in video surveillance, analytics, and related fields. Igal holds an M.Sc. & B.Sc. with honors in Electrical Engineering from Tel-Aviv University.

Matthew Turk,
President of Toyota Technological Insitute at Chicago (TTIC),
Professor at Emeritus University of California,
Santa Barbara

Topic: The legal landscape of vision-based surveillance

Matthew Turk is the President of TTIC, an independent philanthropically endowed graduate research institute that focuses on computer science theory and artificial intelligence. His research interests are in computer vision and human-computer interaction, largely concerned with using computer vision as an input modality. That means using cameras (and other sensors) to perceive relevant information about people and the world and then using this information to improve the interface between humans and computers. In recent years, many of the applications have been in augmented reality, and mostly focused on real-time mobile computing environments.


Kamal Nasrollahi,
Aalborg University, Denmark
Milestones Systems, Denmark

Sergio Escalera Guerrero
Universitat de Barcelona, Spain
Computer Vision Center, 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