The Workshop on Observing and Understanding Hands in Action (HANDS) will gather vision researchers working on perceiving hands performing actions, including 2D & 3D hand detection, segmentation, pose/shape estimation, tracking, etc. The seventh edition of this workshop (HANDS@ICCV2023) will emphasize hand pose estimation from the egocentric view and hands performing fine-grained actions and interactions with tools and objects. 

Development of RGB-D sensors and camera miniaturization (wearable cameras, smart phones, ubiquitous computing) have opened the door to a whole new range of technologies and applications which require detecting hands and recognizing hand poses in a variety of scenarios, including AR/VR, assistive systems, robot grasping, and health care. However, the tasks of hand pose estimation from an egocentric camera and/or in the presence of heavy occlusion are still challenging under the status quo.

Compared to static camera settings, recognizing hands in egocentric images is a more difficult problem due to viewpoint bias, camera distortion (e.g., fisheye), and motion blur from the head movement. Additionally, addressing the occlusion during hand-object or hand-hand interactions is an important open challenge that still attracts significant attention for real-world applications. We will also cover related applications, including gesture recognition, hand-object manipulation analysis, hand activity understanding, and interactive interfaces. The relevant topics include: