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88
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CVPR
2008
IEEE
15 years 11 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
14 years 8 months ago
Planes, trains and automobiles - autonomy for the modern robot
—We are concerned with enabling truly large scale autonomous navigation in typical human environments. To this end we describe the acquisition and modeling of large urban spaces ...
Gabe Sibley, Christopher Mei, Ian D. Reid, Paul M....
75
Voted
CANDC
2005
ACM
14 years 11 months ago
The development of a cybernetic sculptor: Edward Ihnatowicz and the senster
Edward Ihnatowicz (1926-1988) built one of the world’s first computer-controlled robotic sculptures, The Senster, in 196870. Rather than concentrate entirely on this groundbreak...
Aleksandar Zivanovic
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 2 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
CVPR
2006
IEEE
15 years 11 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal