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» An Object Tracking Scheme Based on Local Density
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JMM2
2006
141views more  JMM2 2006»
14 years 9 months ago
Human Tracking by Fast Mean Shift Mode Seeking
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
Csaba Beleznai, Bernhard Frühstück, Hors...
114
Voted
TKDE
2012
212views Formal Methods» more  TKDE 2012»
12 years 12 months ago
Segmentation and Sampling of Moving Object Trajectories Based on Representativeness
—Moving Object Databases (MOD), although ubiquitous, still call for methods that will be able to understand, search, analyze, and browse their spatiotemporal content. In this pap...
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopana...
CNSR
2009
IEEE
108views Communications» more  CNSR 2009»
15 years 1 months ago
A New Adaptive Prediction-Based Tracking Scheme for Wireless Sensor Networks
The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this inc...
Hadi Jamali Rad, Bahman Abolhassani, Mohammad Abdi...
98
Voted
VMV
2000
169views Visualization» more  VMV 2000»
14 years 11 months ago
A Non-Linear Subdivision Scheme for Triangle Meshes
Subdivision schemes are commonly used to obtain dense or smooth data representations from sparse discrete data. E. g., B-splines are smooth curves or surfaces that can be construc...
Stefan Karbacher, Stephan Seeger, Gerd Häusle...
89
Voted
ICPR
2000
IEEE
15 years 10 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...