Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,017,892 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
11 relations
Computer vision
Corner detection
Feature extraction
Image registration
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
A Stereoscopic Video Generation Method Using Stereoscopic Display Characterization and Motion Analysis
Donghyun Kim
,
Dongbo Min
,
K. Sohn
IEEE transactions on broadcasting
2008
Corpus ID: 6643009
Stereoscopic video generation methods can produce stereoscopic content from conventional video filmed with monoscopic cameras. In…
Expand
Highly Cited
2007
Highly Cited
2007
Person following with a mobile robot using binocular feature-based tracking
Zhichao Chen
,
Stan Birchfield
IEEE/RSJ International Conference on Intelligent…
2007
Corpus ID: 6633436
We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS…
Expand
2007
2007
Combining local and global motion models for feature point tracking
Aeron Buchanan
,
A. Fitzgibbon
IEEE Conference on Computer Vision and Pattern…
2007
Corpus ID: 14968320
Accurate feature point tracks through long sequences are a valuable substrate for many computer vision applications, e.g. non…
Expand
Highly Cited
2007
Highly Cited
2007
Segmentation and tracking of multiple video objects
Andrea Colombari
,
Andrea Fusiello
,
Vittorio Murino
Pattern Recognition
2007
Corpus ID: 16427788
2005
2005
Learning a sparse, corner-based representation for time-varying background modelling
Qiang Zhu
,
S. Avidan
,
K. Cheng
Tenth IEEE International Conference on Computer…
2005
Corpus ID: 11775781
Time-varying phenomenon, such as ripples on water, trees waving in the wind and illumination changes, produces false motions…
Expand
2005
2005
Integrating multi-camera tracking into a dynamic task allocation system for smart cameras
M. Bramberger
,
M. Quaritsch
,
Thomas Winkler
,
B. Rinner
,
H. Schwabach
IEEE Conference on Advanced Video and Signal…
2005
Corpus ID: 8473829
This paper reports on the integration of multi-camera tracking into an agent-based framework, which features autonomous task…
Expand
2005
2005
Hypothesis based vehicle detection for increased simplicity in multi-sensor ACC
B. Alefs
,
D. Schreiber
,
M. Clabian
IEEE Proceedings. Intelligent Vehicles Symposium…
2005
Corpus ID: 14316577
Systems for adaptive cruise control (ACC) become increasingly complex in case multiple sensors are used. The search space…
Expand
2003
2003
Visual self-localization for indoor mobile robots using natural lines
X. Nguyen
,
Bum-Jae You
,
Sang-Rok Oh
,
Myung Hwangbo
IEEE/RJS International Conference on Intelligent…
2003
Corpus ID: 30009570
In this paper, we present a simple linear method for localization an indoor mobile robot based on a natural landmark model and a…
Expand
1993
1993
Comparison of 6‐31G*‐based MST/SCRF and FEP evaluations of the free energies of hydration for small neutral molecules
M. Orozco
,
W. L. Jorgensen
,
F. Luque
Journal of Computational Chemistry
1993
Corpus ID: 32802853
A comparison between Miertus–Scrocco–Tomasi (MST) SCRF and free energy perturbation (FEP) estimates of the free energy of…
Expand
Review
1984
Review
1984
ON THE APPROXIMATION OF THE DISCRETE KARHUNEN-LOEVE TRANSFORM FOR STATIONARY PROCESSES
M. Unser
1984
Corpus ID: 18449954
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE