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  1. Proceedings of the 1st international workshop on 3D video processing (3DVP '10)
  2. Self-occlusion handling for human body motion tracking from 3D ToF image sequence
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Space-time visual effects as a post-production process
From silhouettes to 3D points to mesh: towards free viewpoint video
Stereo in post-production
A novel blind watermarking scheme for depth-image-based rendering 3D images
A joint multi-view plus depth image coding scheme based on 3D-warping
Novel view synthesis for stereoscopic cinema: detecting and removing artifacts
OTESC: online transformation estimation between stereo cameras
Wide-baseline multi-view video segmentation for 3D reconstruction
3D feature extraction from uncalibrated video clips
Multiple view human articulated tracking using charting and particle swarm optimisation
Self-occlusion handling for human body motion tracking from 3D ToF image sequence
Nonrigid stereo reconstruction using linear programming

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Self-occlusion handling for human body motion tracking from 3D ToF image sequence

Content Provider ACM Digital Library
Author Kim, Daijin Kim, Daehwan
Abstract A 3D Time-of-flight (ToF) image is very useful to accurately track the human body motion due to its precision. However, the ToF image can not provide occluded 3D data because it also has a limitation of camera viewpoint. This paper proposes a self-occlusion handling scheme for human body motion tracking from 3D ToF image sequence. The proposed self-occlusion handling scheme consists of two steps: detect whether the body part is occluded or not and then estimate its motion from estimating the motion of non-occluded its adjacent body parts. Occlusion can be easily detected by using the eigenvalue analysis of 3D ToF data gathered from the joint point of each body part, and their motions can be estimated by calculating the rotation of the occluded body part. To apply it to the human body motion tracking, we use the Iterative closest point (ICP) algorithm and particle filter to track even the motion of fast moving body parts. Experimental results show that the human body motion tracking with the proposed self-occlusion handling scheme can correctly estimate even the motion of the self-occluded body part by comparing the estimated joint points with the manually marked joint points.
Starting Page 57
Ending Page 62
Page Count 6
File Format PDF
ISBN 9781450301596
DOI 10.1145/1877791.1877806
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Human body motion tracking Icp 3d tof camera Self-occlusion handling Particle filter
Content Type Text
Resource Type Article
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