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» Evaluation and Selection of Models for Motion Segmentation
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ICIP
2009
IEEE
13 years 6 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
ECCV
2000
Springer
14 years 10 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
14 years 3 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
CVPR
2000
IEEE
14 years 10 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu
ICPR
2010
IEEE
13 years 6 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja