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» The Dark Side of Object Learning: Learning Objects
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CVPR
2001
IEEE
14 years 11 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
CVPR
2008
IEEE
14 years 11 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
PCM
2009
Springer
198views Multimedia» more  PCM 2009»
14 years 3 months ago
Concept-Specific Visual Vocabulary Construction for Object Categorization
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...
Chunjie Zhang, Jing Liu, Yi Ouyang, Hanqing Lu, So...
ECCV
2010
Springer
14 years 2 months ago
Weakly Supervised Shape Based Object Detection with Particle Filter
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
AROBOTS
1999
118views more  AROBOTS 1999»
13 years 8 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...