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» Gaussian Processes for Object Categorization
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ICASSP
2011
IEEE
14 years 1 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
AVSS
2008
IEEE
15 years 4 months ago
Object and Scene-Centric Activity Detection Using State Occupancy Duration Modeling
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
Murtaza Taj, Andrea Cavallaro
ICIP
2005
IEEE
15 years 11 months ago
An efficient Rao-Blackwellized particle filter for object tracking
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
Étienne Mémin, Elise Arnaud
ICIP
2009
IEEE
15 years 10 months ago
Affine Alignment Of Compound Objects: A Direct Approach
A direct approach for parametric estimation of 2D affine deformations between compound shapes is proposed. It provides the result as a least-square solution of a linear system of ...
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ICIP
2009
IEEE
15 years 10 months ago
Modified Grabcut For Unsupervised Object Segmentation
We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...