Use of context in vision processing: an introduction to the UCVP 2009 workshop

  • Authors:
  • Hamid Aghajan;Ralph Braspenning;Yuri Ivanov;Louis-Philippe Morency;Anton Nijholt;Maja Pantic;Ming-Hsuan Yang

  • Affiliations:
  • Stanford University, Stanford;Philips Research, Eindhoven, The Netherlands;MERL Research, Cambridge;University of Southern California, Marina del Rey;University of Twente, Enschede, The Netherlands;Imperial College, London, United Kingdom;Univ. of California, Merced

  • Venue:
  • Proceedings of the Workshop on Use of Context in Vision Processing
  • Year:
  • 2009

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Abstract

Recent efforts in defining ambient intelligence applications based on user-centric concepts, the advent of technology in different sensing modalities as well as the expanding interest in multi-modal information fusion and situation-aware and dynamic vision processing algorithms have created a common motivation across different research disciplines to utilize context as a key enabler of application-oriented vision systems design. Improved robustness, efficient use of sensing and computing resources, dynamic task assignment to different operating modules as well as adaptation to event and user behavior models are among the benefits a vision processing system can gain through the utilization of contextual information. The Workshop on Use of Context in Vision Processing (UCVP) aims to address the opportunities in incorporating contextual information in algorithm design for single or multi-camera vision systems, as well as systems in which vision is complemented with other sensing modalities, such as audio, motion, proximity, occupancy, and others.