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2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2014)
Columbus, OH, USA
June 23, 2014 to June 28, 2014
ISSN: 2160-7516
ISBN: 978-1-4799-4308-1
pp: 827-832
Egocentric vision provides a unique perspective of the visual world that is inherently human-centric. Since egocentric cameras are mounted on the user (typically on the user's head), they are naturally primed to gather visual information from our everyday interactions, and can even act on that information in real-time (e.g. for a vision aid). We believe that this human-centric characteristic of egocentric vision can have a large impact on the way we approach central computer vision tasks such as visual detection, recognition, prediction, and socio-behavioral analysis. By taking advantage of the first-person point-of-view paradigm, there have been recent advances in areas such as personalized video summarization, understanding concepts of social saliency, activity analysis with inside-out cameras (a camera to capture eye gaze and an outward-looking camera), recognizing human interactions and modeling focus of attention. However, in many ways people are only beginning to understand the full potential (and limitations) of the first-person paradigm. In the 3rd workshop on Egocentric (First-Person) Vision, we bring together researchers to discuss emerging topics such as: Personalization of visual analysis; Socio-behavioral modeling; Understanding group dynamics and interactions; Egocentric video as big data; First-person vision for robotics; and Egographical User Interfaces (EUIs).
Cameras, Surveillance, Conferences, Computer vision, Sensors, Visualization, Privacy

S. Mann, K. M. Kitani, Y. J. Lee, M. S. Ryoo and A. Fathi, "An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision," 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Columbus, OH, USA, 2014, pp. 827-832.
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