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» Tracking objects in video using motion and appearance models
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ICCV
2011
IEEE
12 years 7 months ago
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
Kihwan Kim, Dongryeol Lee, Irfan Essa
CVPR
2009
IEEE
15 years 3 months ago
Recognizing Realistic Actions from Videos in the Wild
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...
PG
2003
IEEE
14 years 1 months ago
Motion Perturbation Based on Simple Neuromotor Control Models
Motion capture is widely used for character animation. One of the major challenges of this technique is how to modify the captured motion in plausible ways. Previous work has focu...
KangKang Yin, Michael B. Cline, Dinesh K. Pai
ISMAR
2003
IEEE
14 years 1 months ago
Robust Visual Tracking for Non-Instrumented Augmented Reality
This paper presents a robust and flexible framework for augmented reality which does not require instrumenting either the environment or the workpiece. A model-based visual track...
Georg S. W. Klein, Tom Drummond
MVA
2007
179views Computer Vision» more  MVA 2007»
13 years 7 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong