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» Probabilistic Measures for Motion Segmentation
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ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 5 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
ICCV
2009
IEEE
15 years 10 days ago
Detection of Human Actions From A Single Example
We present an algorithm for detecting human actions based upon a single given video example of such actions. The proposed method is unsupervised, does not require learning, segm...
Hae Jong Seo, Peyman Milanfar
PAMI
2007
196views more  PAMI 2007»
13 years 6 months ago
Clustering and Embedding Using Commute Times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
Huaijun Qiu, Edwin R. Hancock
ACIVS
2006
Springer
14 years 1 months ago
Blue Sky Detection for Picture Quality Enhancement
Content analysis of video and still images is attractive for multiple reasons, such as enabling content-based actions and image manipulation. This paper presents a new algorithm an...
Bahman Zafarifar, Peter H. N. de With
MVA
1996
122views Computer Vision» more  MVA 1996»
13 years 8 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien