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» An Object Tracking Scheme Based on Local Density
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217
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AAAI
2008
15 years 2 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
PAMI
2007
253views more  PAMI 2007»
15 years 1 days ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
JMM2
2006
146views more  JMM2 2006»
15 years 15 days ago
Probabilistic Algorithms, Integration, and Empirical Evaluation for Disambiguating Multiple Selections in Frustum-Based Pointing
There are a few fundamental pointing-based user interface techniques for performing selections in 3D environments. One of these techniques is ray pointing, which makes selections b...
Greg S. Schmidt, Dennis G. Brown, Erik B. Tomlin, ...
120
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TCSV
2002
229views more  TCSV 2002»
15 years 5 days ago
Automatic segmentation of moving objects in video sequences: a region labeling approach
Abstract--The emerging video coding standard MPEG-4 enables various content-based functionalities for multimedia applications. To support such functionalities, as well as to improv...
Yaakov Tsaig, Amir Averbuch
115
Voted
CVPR
2010
IEEE
15 years 22 days ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak