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» Articulated Object Tracking via a Genetic Algorithm
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ICPR
2002
IEEE
14 years 7 months ago
Using Normal Flow for Detection and Tracking of Limbs in Color Images
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
Zoran Duric, Fayin Li, Yan Sun, Harry Wechsler
GCC
2003
Springer
13 years 12 months ago
An Evolutionary Constraint Satisfaction Solution for over the Cell Channel Routing
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
Ahmet Ünveren, Adnan Acan
TCSV
2008
155views more  TCSV 2008»
13 years 6 months ago
Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking
Dual-camera systems have been widely used in surveillance because of the ability to explore the wide field of view (FOV) of the omnidirectional camera and the wide zoom range of th...
Chung-Hao Chen, Yi Yao, David Page, Besma R. Abidi...
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
14 years 1 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...
CLOR
2006
13 years 10 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams