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Overview

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. Specifically, the workshop will focus on the following aspects.

• 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