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ICASSP
2011
IEEE
12 years 9 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
ICIP
2006
IEEE
14 years 7 months ago
Multispectral Object Segmentation and Retrieval in Surveillance Video
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information fr...
Ciarán O. Conaire, Noel E. O'Connor, Eddie ...
SCVMA
2004
Springer
13 years 10 months ago
On the Relationship Between Image and Motion Segmentation
Abstract. In this paper we present a generative model for image sequences, which can be applied to motion segmentation and tracking, and to image sequence compression. The model co...
Adrian Barbu, Song Chun Zhu
ICMCS
1999
IEEE
234views Multimedia» more  ICMCS 1999»
13 years 9 months ago
Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences
Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis i...
Ioannis Kompatsiaris, Michael G. Strintzis
IPMI
2005
Springer
14 years 6 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...