5 search results - page 1 / 1 » Bayesian Human Segmentation in Crowded Situations |
CVPR
2003
IEEE
14 years 26 days ago
2003
IEEE
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
PAMI
2008
13 years 7 months ago
2008
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
WSC
2008
13 years 10 months ago
2008
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), De...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
IJISTA
2006
13 years 7 months ago
2006
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...