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» Generating Network-Based Moving Objects
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CVPR
2008
IEEE
14 years 12 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
AROBOTS
1999
118views more  AROBOTS 1999»
13 years 9 months ago
GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation
We have designed a research platform for a perceptually guided robot, which also serves as a demonstrator for a coming generation of service robots. In order to operate semi-autono...
Mark Becker, Efthimia Kefalea, Eric Maël, Chr...
COMGEO
2007
ACM
13 years 10 months ago
Learning smooth shapes by probing
We consider the problem of discovering a smooth unknown surface S bounding an object O in R3 . The discovery process consists of moving a point probing device in the free space ar...
Jean-Daniel Boissonnat, Leonidas J. Guibas, Steve ...
PAMI
2000
113views more  PAMI 2000»
13 years 9 months ago
Hierarchical Discriminant Regression
This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
Wey-Shiuan Hwang, Juyang Weng
ICPR
2006
IEEE
14 years 11 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...