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Kanade–Lucas–Tomasi feature tracker

Known as: KLT feature tracker, KLT tracker, Kanade-Lucas-Tomasi Feature Tracker 
In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of… 
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Papers overview

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Highly Cited
2008
Highly Cited
2008
Stereoscopic video generation methods can produce stereoscopic content from conventional video filmed with monoscopic cameras. In… 
Highly Cited
2007
Highly Cited
2007
We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS… 
2007
2007
Accurate feature point tracks through long sequences are a valuable substrate for many computer vision applications, e.g. non… 
2005
2005
Time-varying phenomenon, such as ripples on water, trees waving in the wind and illumination changes, produces false motions… 
2005
2005
This paper reports on the integration of multi-camera tracking into an agent-based framework, which features autonomous task… 
2005
2005
Systems for adaptive cruise control (ACC) become increasingly complex in case multiple sensors are used. The search space… 
2003
2003
In this paper, we present a simple linear method for localization an indoor mobile robot based on a natural landmark model and a… 
1993
1993
A comparison between Miertus–Scrocco–Tomasi (MST) SCRF and free energy perturbation (FEP) estimates of the free energy of…