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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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Related topics

Related topics

11 relations
Computer visionCorner detectionFeature extractionImage registration

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Automated thresholding for low-complexity corner detection
Widely-used corner detectors such as Shi-Tomasi and Harris necessitate the selection of a threshold parameter manually in order… 
2009
2009
A direct approach for efficiently tracking with 3D morphable models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry… 
2008
2008
Real-time 3D object pose estimation and tracking for natural landmark based visual servo
A real-time solution for estimating and tracking the 3D pose of a rigid object is presented for image-based visual servo with… 
2008
2008
Real time facial feature points tracking with Pyramidal Lucas-Kanade algorithm
In this paper, we present a detection and tracking feature points algorithm in real time camera input environment. To trace and… 
2007
2007
Combining local and global motion models for feature point tracking
Accurate feature point tracks through long sequences are a valuable substrate for many computer vision applications, e.g. non… 
Highly Cited
2007
Highly Cited
2007
Segmentation and tracking of multiple video objects
2005
2005
Integrating multi-camera tracking into a dynamic task allocation system for smart cameras
This paper reports on the integration of multi-camera tracking into an agent-based framework, which features autonomous task… 
2005
2005
Hypothesis based vehicle detection for increased simplicity in multi-sensor ACC
Systems for adaptive cruise control (ACC) become increasingly complex in case multiple sensors are used. The search space… 
2005
2005
Learning a sparse, corner-based representation for time-varying background modelling
Time-varying phenomenon, such as ripples on water, trees waving in the wind and illumination changes, produces false motions… 
2003
2003
Visual self-localization for indoor mobile robots using natural lines
In this paper, we present a simple linear method for localization an indoor mobile robot based on a natural landmark model and a… 
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