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» An Oscillatory Neural Model of Multiple Object Tracking
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ICIP
2006
IEEE
14 years 9 months ago
Ghost Removal in High Dynamic Range Images
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appea...
Ahmet Oguz Akyüz, Erik Reinhard, Erum Arif Kh...
IJSYSC
2006
86views more  IJSYSC 2006»
13 years 7 months ago
Cooperative forest fire surveillance using a team of small unmanned air vehicles
The objective of this paper is to explore the feasibility of using multiple low-altitude, short endurance (LASE) unmanned air vehicles (UAVs) to cooperatively monitor and track th...
David W. Casbeer, Derek B. Kingston, Randal W. Bea...
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
14 years 25 days ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
ICML
2006
IEEE
14 years 8 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
PVLDB
2008
146views more  PVLDB 2008»
13 years 7 months ago
Efficient search for the top-k probable nearest neighbors in uncertain databases
Uncertainty pervades many domains in our lives. Current real-life applications, e.g., location tracking using GPS devices or cell phones, multimedia feature extraction, and sensor...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas