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» Motion track: Visualizing variations of human motion data
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ICIP
2007
IEEE
16 years 3 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
13 years 11 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»
14 years 9 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»
15 years 1 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
16 years 4 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