515 search results - page 58 / 103 » Learning Image Components for Object Recognition |
129
Voted
ICIP
2005
IEEE
15 years 8 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
155
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
127
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ICANN
2009
Springer
15 years 9 months ago
2009
Springer
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
119
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ICMCS
2009
IEEE
15 years 19 days ago
2009
IEEE
In this paper, we present a novel approach for human activities recognition in the video. We analyze human activities in the sequential frames because human activities can be cons...
162
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ICARCV
2008
IEEE
15 years 9 months ago
2008
IEEE
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...