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… (More)
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Papers overview

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2015
2015
Due to the significant growth of video data over the Internet, video steganography has become a popular choice. The effectiveness… (More)
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2015
2015
The article examines methods of images analysis based on computer vision. We made a comparison between the detectors of feature… (More)
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2012
2012
Optical flow algorithms offer a way to estimate motion from a sequence of images. The computation of optical flow plays a key… (More)
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Highly Cited
2008
Highly Cited
2008
This paper discusses an approach to human action recognition via local feature tracking and robust estimation of background… (More)
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2008
2008
In this paper, we present a detection and tracking feature points algorithm in real time camera input environment. To trace and… (More)
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2007
2007
In this paper, we present a face tracking and detection algorithm in real time camera input environment. To trace and extract a… (More)
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2006
2006
Many methods for motion computation and object tracking are based on the Lucas-Kanade (LK) framework. We present a method which… (More)
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Highly Cited
2006
Highly Cited
2006
Intelligent Transportation Systems need methods to automatically monitor the road traffic, and especially track vehicles. Most… (More)
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Review
2002
Review
2002
Since the Lucas-Kanade algorithm was proposed in 1981 image alignment has become one of the most widely used techniques in… (More)
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Highly Cited
1998
Highly Cited
1998
This paper addresses robust feature tracking. We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic… (More)
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