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» Object Segmentation and Tracking Using Video Locales
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CVPR
2006
IEEE
14 years 10 months ago
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
Zhaozheng Yin, Robert T. Collins
ICCV
2011
IEEE
12 years 8 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
ICCV
2003
IEEE
14 years 10 months ago
An affine invariant deformable shape representation for general curves
Automatic construction of Shape Models from examples has been the focus of intense research during the last couple of years. These methods have proved to be useful for shape segme...
Anders Ericsson, Kalle Åström
ICCV
2009
IEEE
15 years 1 months ago
Detection of Human Actions From A Single Example
We present an algorithm for detecting human actions based upon a single given video example of such actions. The proposed method is unsupervised, does not require learning, segm...
Hae Jong Seo, Peyman Milanfar
ICRA
2010
IEEE
245views Robotics» more  ICRA 2010»
13 years 6 months ago
2000 fps real-time vision system with high-frame-rate video recording
—This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and high frame rate video recording simultaneously. In IDP Expr...
Idaku Ishii, Tetsuro Tatebe, Qingyi Gu, Yuta Moriu...