Gesture recognition method and apparatus based on analysis of multiple candidate boundaries

Abstract

An image processing system comprises an image processor configured to identify a plurality of candidate boundaries in an image, to obtain corresponding modified images for respective ones of the candidate boundaries, to apply a mapping function to each of the modified images to generate a corresponding vector, to determine sets of estimates for respective ones of the vectors relative to designated class parameters, and to select a particular one of the candidate boundaries based on the sets of estimates. The designated class parameters may include sets of class parameters for respective ones of a plurality of classes each corresponding to a different gesture to be recognized. The candidate boundaries may comprise candidate palm boundaries associated with a hand in the image. The image processor may be further configured to select a particular one of the plurality of classes to recognize the corresponding gesture based on the sets of estimates.

Aleksandr Petiushko Александр Петюшко
Aleksandr Petiushko Александр Петюшко
Head of AI / Vice President, Head of RnD / Adjunct Professor / PhD

Principal R&D Researcher (20 years of experience), R&D Technical Leader (15 years of experience), and R&D Manager (10 years of experience). Running and managing industrial research and academic collaboration (45 publications, 40 patents). Hiring and transforming AI/ML teams. Inspired by theoretical computer science and how it changes the world.