Sri International

Kevin Kaighn

Supun Samarasekera

Han-Pang Chiu

Mikhail Sizintsev

Ryan Villamil

Niluthpol C Mithun

Zachary Seymour

Philip Miller

Alex Krasner

Abhinav Rajvanshi

Junjiao Tian

A method, machine readable medium and system for RGBD semantic segmentation of video data includes determining semantic segmentation data and depth segmentation data for less than all classes for images of each frame of a first video, determining semantic segmentation data and depth segmentation data for images of each key frame of a second video including a synchronous combination of respective frames of the RGB video and the depth-aware video in parallel to the determination of the semantic segmentation data and the depth segmentation data for each frame of the first video, temporally and geometrically aligning respective frames of the first video and the second video, and predicting semantic segmentation data and depth segmentation data for images of a subsequent frame of the first video based on the determination of the semantic segmentation data and depth segmentation data for images of a key frame of the second video.

RGBD video semantic segmentation with temporal and geometric consistency

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Medord, NJ, United States of America

Kevin Kaighn