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» Recovering 3D Human Body Configurations Using Shape Contexts
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FGR
2006
IEEE
262views Biometrics» more  FGR 2006»
13 years 10 months ago
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color...
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek
IVS
2006
127views more  IVS 2006»
13 years 4 months ago
Feature hiding in 3D human body scans
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The i...
Joseph Laws, Nathaniel Bauernfeind, Yang Cai 0002
ICPR
2008
IEEE
14 years 5 months ago
3D Shape Context and Distance Transform for action recognition
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann
ICPR
2008
IEEE
14 years 5 months ago
3D human posture estimation using the HOG features from monocular image
In this paper, we propose a method to estimate the 3D human posture from monocular image without using the markers. A 3D human body is expressed by a multi-joint model, and a set ...
Katsunori Onishi, Tetsuya Takiguchi, Yasuo Ariki
PAMI
2010
417views more  PAMI 2010»
13 years 2 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai