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An Information Based Measure Of Grouping Quality

An Information Based Measure Of Grouping Quality

By: E. A. Engbers, M. Lindenbaum and A. W. M. Smeulders

Grouping is an essential process of computer vision. However, measurement of grouping result is not straightforward and is often heuristic.  We propose here a measure of grouping quality which is based on the following observation: the grouping result provides some information about the true, unknown, grouping and reduces its uncertainty. 

 

  

  

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Celltrack - An Automated Method For Analysis Of Circulating Particles Flow

Celltrack - An Automated Method For Analysis Of Circulating Particles FlowBy: Eran Eden, Dan Waisman, Michael Rudzsky, Haim Bitterman, Vera Brod and Ehud Rivlin

The behavior of white and red blood cells, platelets, and circulating injected particles is one of the most studied areas of physiology. Most methods used to analyze the circulatory patterns of cells are time consuming. We describe a system named CellTrack, designed for fully automated tracking of circulating cells and micro-particles and retrieval of their behavioral characteristics. The task of automated blood cell tracking in vessels from in vivo video is particularly challenging because of the blood cells’ nonrigid shapes, the instability inherent in in vivo videos, the abundance of moving objects and their frequent superposition.

 

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Bittracker - A Bitmap Tracker for Visual Tracking Under Very General Conditions

Bittracker - A Bitmap Tracker for Visual Tracking Under Very General ConditionsBy: Ido Leichter, Michael Lindenbaum and Ehud Rivlin

This paper addresses the problem of visual tracking under very general conditions: a possibly non-rigid target whose appearance may drastically change over time; general camera motion; a 3D scene; and no a priori information except initialization. This is in contrast to the vast majority of trackers which rely on some limited model in which, for example, the target's appearance is known a priori or restricted, the scene is planar, or a pan tilt zoom camera is used. Their goal is to achieve speed and robustness, but their limited context may cause them to fail in the more general case. 

 

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Esaliency & VSLE - Visual Attention Processes Based On Stochastic Models

Esaliency & VSLE - Visual Attention Processes Based On Stochastic Models

 

By: Tamar Avraham and Michael Lindenbaum

Image analysis processes often scan the image exhaustively, looking for familiar objects of different location and size. An attention mechanism that suggests priorities to different image parts and by that directs the analysis process to examine more interesting locations first can make the whole process much more efficient.

 

 

 

 

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