[visionlist] [CFP][WACV 2027] 7th Workshop on Real-World Surveillance: Applications and Challenges (RWS)

[Specker, Andreas]

7th Workshop on Real-World Surveillance: Applications and Challenges (RWS)
in conjunction with the
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2027) (https://wacv.thecvf.com/)
January 4 or 5, 2027 - Disney Springs, Buena Vista, Florida

WORKSHOP WEBSITE
https://vap.aau.dk/rws/

CALL FOR PAPERS
Computer vision models trained on public datasets often exhibit performance drift when deployed in real-world surveillance, diverging from their reported test-set results. This workshop invites papers presenting experimental results from any real-world surveillance or asset-protection application (e.g.,guarding buildings and critical infrastructure), the challenges encountered, and strategies for mitigation on topics including, but not limited to:

  *   Object detection
  *   Tracking
  *   Action recognition
  *   Scene understanding
  *   Super-resolution
  *   Multi-modal 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, AI Act, and US Executive Order on AI) or ethical concerns (like detecting bias towards gender, race, or other characteristics and mitigating strategies). We particularly encourage submissions addressing safety, reliability, and regulatory compliance for critical infrastructure protection, as well as privacy-preserving approaches in high-security environments.

IMPORTANT DATES

  *   Workshop Paper Submission Deadline: October 16, 2026 (11:59 PM, AoE)
  *   Challenge Track Paper Submission: October 23, 2026 (11:59 PM, AoE)
  *   Decision notification: October 30, 2026
  *   Camera-ready: November 17, 2026
  *   Workshop Date: January 4 or 5, 2027

SUBMISSION
Submitted papers are handled via OpenReview accessible here<https://openreview.net/group?id=thecvf.com/WACV/2027/Workshop/RWS>.
Paper template and guidelines for the workshop are similar to those of WACV and can be found here<https://media.eventhosts.cc/Conferences/WACV2026/wacv-2026-author-kit-template.zip>.
Accepted papers will be included in WACV Workshop proceedings and will be published by the CVF / IEEE.

UPAR Challenge 2027: Attributes, Retrieval, and Pose Estimation
RWS introduces a new edition of the UPAR Challenge, extending the previous editions on Pedestrian Attribute Recognition (PAR) and Attribute-Based Person Retrieval (ABPR) towards unified pedestrian understanding. The challenge builds upon the UPAR benchmark by incorporating Human Pose Estimation (HPE), enabling evaluation of pedestrian appearance and body structure understanding across diverse surveillance domains. The challenge consists of three tracks.
The first track continues PAR under challenging domain shifts, while the second extends ABPR to cross-dataset pedestrian retrieval.
The third track introduces surveillance-oriented HPE, evaluating keypoint localization under variations in viewpoint, resolution, illumination, and occlusion using the UPAR-Pose benchmark. A development phase for method validation and a test phase with submission limits to avoid overfitting
are included. Baseline methods for all tracks will be provided.

ORGANIZING TEAM

  *   Mickael Cormier (Fraunhofer IOSB, Germany)
  *   Andreas Specker (Fraunhofer IOSB, Germany)
  *   Chen Chen (University of Central Florida, USA)
  *   Sergio Escalera (Universitat de Barcelona / Computer Vision Center, Spain)
  *   Radu Ionescu (University of Bucharest, Romania)
  *   Fahad Khan (Mohamed bin Zayed University of AI, UAE / Linköping University, Sweden)
  *   Kamal Nasrollahi (Aalborg University / Milestone Systems, Denmark)

ADVISORY COMMITTEE

  *   Thomas Moeslund (Aalborg University, Denmark)
  *   Anthony Hoogs (Kitware Inc, USA)
  *   Shmuel Peleg (Hebrew University of Jerusalem, Israel)
  *   Mubarak Shah (University of Central Florida, USA)
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