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» Motion track: Visualizing variations of human motion data
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ICIP
2007
IEEE
14 years 10 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
ICCV
2011
IEEE
12 years 6 months ago
Tracking by Sampling Trackers
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
junseok kwon and kyoung mu lee
TIM
2011
134views more  TIM 2011»
13 years 3 months ago
A New Sensory System for Modeling and Tracking Humans Within Industrial Work Cells
—This paper introduces a new sensory system for the 2-D detection, tracking, and prediction of human motions. Using the data acquired through the sensory system, a model of a hum...
Nima Najmaei, Mehrdad R. Kermani, M. A. Al-Lawati
IJVR
2007
204views more  IJVR 2007»
13 years 9 months ago
Modeling and Animating Virtual Humans
—We report on the workflow for the creation of realistic virtual anthropomorphic characters. 3D-models of human heads have been reconstructed from real people by following a stru...
Frank Hülsken, Christian Eckes, Roland Kuck, ...
CVPR
2001
IEEE
14 years 11 months ago
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid