Eyewear devices are becoming increasingly popular, both as research prototypes and off-the-shelf products. They can acquire images and videos with different resolutions and frame rates, and can collect multimodal data such as gaze information, audio, GPS position, IMU data, etc. Being connected with head-mounted displays, they can also provide new forms of interaction and visualization. Based on this rapid progress, we believe we are only beginning to understand how these technologies and their application can have impact on our lives. These eyewear devices could soon be able to automatically understand what the wearer is doing, manipulating, or attending to. They will be able to recognize the surrounding scene and understand gestures and social relationships, and enhance everyday activities such as sport, education, and entertainment. Egocentric perception introduces a series of challenging questions for computer vision as motion, real-time responsiveness, and generally uncontrolled interactions in the wild are more frequently required or encountered. Questions such as what to interpret as well as what to ignore, how to efficiently represent egocentric actions, and how captured information can be turned into useful data for guidance or log summaries become central. This new EPIC@X series of workshops aims to bring together the various communities that are relevant to egocentric perception including Computer Vision, Multimedia, HCI and the Visual Sciences and is planned to be held on the major conferences in these fields. EPIC@ICCV will accept Full Papers for novel work, and Extended Abstracts for ongoing or already published work. Both research and application works related to Egocentric Perception, Interaction and Computing are encouraged, including those that can be demonstrated or are in the prototype stages. Submissions are expected to deal with human-centric perception including, but not limited to:
EPIC CommunityIf you are interested to learn about Egocentric Perception, Interaction and Computing, including future calls for paper, code, datasets and jobs, subscribe to the newly introduced mailing list: epic-community@bristol.ac.uk Instructions to subscribe:
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