Abstract
In this innovation, we propose to detect Human faces that are stationary, and that way make sure that statues, mannequins, portraits containing people, and face false positives appearing on other static objects can be removed from the further processing through framing and tracking experiences. Training halls, seminar and board rooms, conference rooms, office huddle and personal workspaces often have statues, mannequins, or other human face like 3- dimensional physical figures or people in the portraits or personal photo collection that is coming in the field of view of camera. An ability to detect and remove from further processing of such static stationary human faces makes the framing and tracking experience much more stable for the end users; such framing and tracking is reactive only to real life human faces and not to stationary static faces found in statues, mannequins, and portraits.
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Recommended Citation
INC, HP, "Computer Vision-based Approach for Rejecting Portraits and Mannequins", Technical Disclosure Commons, (April 12, 2023)
https://www.tdcommons.org/dpubs_series/5793