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» Map-Based Multiple Model Tracking of a Moving Object
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IJON
2002
120views more  IJON 2002»
15 years 1 months ago
The recognition and analysis of animate objects using neural networks and active contour models
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
MVA
2007
179views Computer Vision» more  MVA 2007»
15 years 25 days ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
15 years 7 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
ICVGIP
2008
15 years 2 months ago
Multi-resolution Tracking in Space and Time
This paper proposes efficient and robust methods for tracking a moving object at multiple spatial and temporal resolution levels. The efficiency comes from optimising the amounts ...
Sumantra Dutta Roy, Son Dinh Tran, Larry S. Davis,...
ICRA
2009
IEEE
173views Robotics» more  ICRA 2009»
15 years 8 months ago
Most salient region tracking
— In this paper, we introduce a cognitive approach for object tracking from a mobile platform. The approach is based on a biologically motivated attention system which is able to...
Simone Frintrop, Markus Kessel