NDLI: Estimation of vehicle speed by motion tracking on image sequences

Content Provider	IEEE Xplore Digital Library
Author	Madasu, V.K. Hanmandlu, M.
Copyright Year	2010
Description	Author affiliation: NICTA, Australia (Madasu, V.K.) \|\| Electrical Engineering Department, I.I.T. Delhi, India (Hanmandlu, M.)
Abstract	This paper presents a method for estimating vehicle speed by tracking the motion of a vehicle through a sequence of images. The motion is derived using an equation based on spherical projection which relates the image motion to the object motion. Motion tracking is done via the Kanade-Lucas-Tomasi algorithm. The motion equation is reformulated into a dynamical space state model, for which Kalman and Extended Kalman filter are applied to estimate the object velocity as well as to predict the future location of the features. The proposed algorithm is employed on a real-life traffic video captured using an un-calibrated camera to estimate the speed of individual vehicles in the video frames. The main advantages are that it is a simple yet robust method having lower time complexity and less ambiguity in vehicle speed estimations.
Starting Page	185
Ending Page	190
File Size	772759
Page Count	6
File Format	PDF
ISBN	9781424478668
ISSN	19310587
e-ISBN	9781424478682
DOI	10.1109/IVS.2010.5548051
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Vehicles Tracking Image sequences Equations Predictive models Kalman filters State estimation Traffic control Cameras
Content Type	Text
Resource Type	Article

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