Workshops
Workshop on "Background Learning for Detection and Tracking from RGB videos" (RGB 2017) in conjunction with ICIAP 2017.
The aim of RGBD 2017 is to bring together researchers interested in background learning for detection and tracking from RGBD video in order to:
- disseminate their most recent research results,
- advocate and promote the research in this area,
- discuss rigorously and systematically potential solutions and challenges,
- promote new collaborations among researchers working in different application areas,
- share innovative ideas and solutions for exploitingthe potential synergies emerging from the integration of different application domains.
Workshop on "Scene Background Modeling and Initialization" (SBMI 2015) in conjunction with ICIAP 2015.
The aim of SBMI 2015 is to bring together researchers interested in scene background modeling and initialization in different application areas, in order to:
- disseminate their most recent research results,
- advocate and promote the research into scene background modeling and initialization,
- discuss rigorously and systematically potential solutions and challenges,
- promote new collaborations among researchers working in different application areas,
- share innovative ideas and solutions for exploiting the potential synergies emerging from the integration of different application domains.
IEEE Change Detection Workshop in conjunction with CVPR 2014.
Researchers from both academia and industry are invited to test their change and motion detection algorithms on two large scale datasets, and to report their methodology and results. Results from all submissions that meet certain minimum quality standards are reported and maintained on the ChangeDetection.net website.
Workshop on Background Model Challenges (BMC 2012) in conjunction with ACCV 2012.
IEEE Change Detection Workshop in conjunction with CVPR 2012.
Researchers from both academia and industry are invited to test their change and motion detection algorithms on a large scale dataset, and to report their methodology and results. Results from all submissions that meet certain minimum quality standards are reported and maintained on the ChangeDetection.net website.