161 search results - page 22 / 33 » Object Detection Via Boosted Deformable Features |
169
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DICTA
2008
15 years 2 months ago
2008
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
113
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ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
ICCV
2005
IEEE
15 years 7 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
101
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IROS
2007
IEEE
15 years 7 months ago
2007
IEEE
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
103
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Detecting an object part relies on two sources of information - the appearance of the part itself, and the context supplied by surrounding parts. In this paper we consider problem...