Detection and Tracking of Point Features

Summary

A factorization method to decompose an image stream directly into object shape and camera motion, without computing depth as an intermediate step is developed, going from basic theory to implementation.

Keywords

Artificial intelligence, Computer science, Computer vision, Tracking (education), Psychology

References

Volumetric model and 3D trajectory of a moving car derived from monocular TV frame sequences of a street sceneL. Dreschler, Hans-Hellmut Nagel — 1981
Fido: vision and navigation for a robot roverC. Thorpe — 1984
Obstacle avoidance and navigation in the real world by a seeing robot roverHans Moravec — 1980
A locally adaptive window for signal matchingMasatoshi Okutomi, Takeo Kanade — 1990
An Iterative Image Registration Technique with an Application to Stereo VisionBruce D. Lucas, Takeo Kanade — 1981
Shape and Motion from Image Streams: a Factorization Method 2. Point Features in 3D MotionCarlo Tomasi, Takeo Kanade — 1991
Shape and Motion from Image Streams: a Factorization Method, Part1, Planar MotionCarlo Tomasi, Takeo Kanade — 1990
The Measurement of Visual MotionE. Hildreth, Shimon Ullman — 1984

Cited by

Evaluation of video based pedestrian and vehicle detection algorithmsVarun Bandarupalli — 2010
Removal of Unwanted Hand Gestures using Motion AnalysisKhurram Khurshid, Nicole Vincent — 2007
Improving RGBD Indoor Mapping with IMU dataS.L. Des Bouvrie — 2011
Mixed color/level lines and their stereo-matching with a modified Hausdorff distanceNoppon Lertchuwongsa, Michèle Gouiffès, Bertrand Zavidovique — 2011
Robust visual detection and tracking of complex objects : applications to space autonomous rendez-vous and proximity operations. (Détection et suivi visuels robustes d'objets complexes : applications au rendezvous spatial autonome)Antoine Petit — 2013
Improving Performance and Quality thru Hardware Reconfiguration: Potentials and Adaptive Object Tracking Case StudySoheil Ghiasi, Hyun Jin Moon, Majid Sarrafzadeh — 2003
Image registration for image-based renderingFrancisco Javier Pastor Muñoz, María Jesús Adán Poza — 2005
Bearings based robot homing with robust landmark matching and limited horizon viewIvan Kirigin, Sanjiv Singh — 2005
Sistemi di percezione frontale per veicoli intelligenti mediante visione artificialePaolo Zani — 2009
Curvilinear Structures Segmentation and Tracking in Interventional ImagingNicolas Honnorat — 2013
Nonlinear Refinement of Camera Parameters Using an Endoscopic Surgery RobotJochen Schmidt, Florian Vogt, Heinrich Niemann — 2002
A Person Following Algorithm for Use with a Single Forward Facing RGB-D Camera on a Mobile RobotSean Michael Ficht — 2012
Sequential Topic Models for Mining Recurrent Activities and their RelationshipsJagannadan Varadarajan — 2012
Accelerated Object Tracking with Local Binary FeaturesBreton Minnehan — 2014
Robust Feature TrackingT. Tommasini — 2007
Using temporal seeding to constrain the disparity search range in stereo matchingT Ndhlovu, Fred Nicolls — 2011
Facial feature point tracking based on a graphical model frameworkSerhan Coşar — 2008
Design for Visually Servoed MicroassemblyBharath Mukundakrishnan — 2000
Segmentation région-contour des contours des lèvresC. Bouvier — 2010
Biologically Inspired Visual Control of Flying RobotsJohn Ross Stowers — 2013

Related papers

Determining Optical FlowBerthold K. P. Horn, Brian G. Schunck — 1981
Rapid object detection using a boosted cascade of simple featuresPaul Viola, Michael Jones — 2001
Histograms of oriented gradients for human detectionNavneet Dalal, Bill Triggs — 2005
CONDENSATION—Conditional Density Propagation for Visual TrackingMichael Isard, Andrew Blake — 1998
Distinctive Image Features from Scale-Invariant KeypointsDavid Lowe — 2004
Shape and motion from image streams under orthography: a factorization methodCarlo Tomasi, Takeo Kanade — 1992
Kernel-Based Object TrackingDorin Comaniciu, Visvanathan Ramesh, Peter Meer — 2003
Good features to trackJianbo Shi, Tomasi — 1994