Action Recognition and Pose Estimation in Still Images Workshop at ECCV 2012, October 13, Firenze, Italy

http://vision.stanford.edu/apsi2012/index.html

Many human actions, such as “playing violin” and “taking a photo”, are well described by still images. Recognizing human actions and estimating human poses in still images will potentially provide useful information in image indexing and visual search, since a large proportion of available images contain people. Progress on these tasks is also beneficial to object and scene recognition, given the frequent human-object and human-scene interactions. Furthermore, as video processing algorithms often rely on some form of initialization from individual video frames, it would be interesting to have a better understanding of how, when, and to what extent static information can help recognize human actions and estimate human pose in videos. This workshop offers a great opportunity to bring together researchers and experts working on different aspects of action recognition and pose estimation to demonstrate their recent work. It provides a common playground for inspiring discussions and stimulating debates.

We invite high quality, original submissions for presentation during the workshop.
Contributions from the following areas are especially welcome:
• Human pose estimation in still images
• Human action recognition in still images • Modeling and recognition of human-object interactions • Scene context for human poses and actions • Understanding humans in videos or depth images • Novel datasets of human poses or actions • Actions and human pose research in cognitive psychology / human perception

Papers must be in PDF format and must not exceed 10 pages (ECCV format). All submissions are subject to a double-blind review process by the program committee.

• Deadline for submission of papers: July 3rd, 2012 • Notification of acceptance: August 2nd, 2012 • Camera-ready submission: August 8th, 2012 • Workshop date: October 13rd, 2012

Contact: apsi2012.ws@gmail.com