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» An objective approach to cluster validation
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CVPR
2003
IEEE
16 years 7 days ago
Object Segmentation in Videos from Moving Camera with MRFs on Color and Motion Features
In this paper we address the problem of fast segmenting moving objects in video acquired by moving camera or more generally with a moving background. We present an approach based ...
Rita Cucchiara, Andrea Prati, Roberto Vezzani
72
Voted
DEXAW
2002
IEEE
101views Database» more  DEXAW 2002»
15 years 3 months ago
Robust Similarity Measures for Mobile Object Trajectories
We investigate techniques for similarity analysis of spatio-temporal trajectories for mobile objects. Such kind of data may contain a great amount of outliers, which degrades the ...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
JMM2
2006
141views more  JMM2 2006»
14 years 10 months ago
Human Tracking by Fast Mean Shift Mode Seeking
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
Csaba Beleznai, Bernhard Frühstück, Hors...
61
Voted
ICPR
2008
IEEE
15 years 4 months ago
Categorization using semi-supervised clustering
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this...
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic
89
Voted
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
15 years 4 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...