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» Novel Observation Model for Probabilistic Object Tracking
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ICCV
2007
IEEE
14 years 9 months ago
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
Acquiring 3D models of intricate objects (like tree branches, bicycles and insects) is a hard problem due to severe self-occlusions, repeated thin structures and surface discontin...
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon ...
IPSN
2009
Springer
14 years 2 months ago
Algebraic approach to recovering topological information in distributed camera networks
Camera networks are widely used for tasks such as surveillance, monitoring and tracking. In order to accomplish these tasks, knowledge of localization information such as camera l...
Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry
CVPR
1999
IEEE
14 years 9 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...
ICPR
2002
IEEE
14 years 8 months ago
Robust Contrast-Invariant EigenDetection
We achieve two goals in this paper: (1) to build a novel appearance-based object representation that takes into account variations in contrast often found in training images; (2) ...
Chakra Chennubhotla, Allan D. Jepson, John Midgley
CVPR
2005
IEEE
14 years 9 months ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...