AGV Guidance System: An Application of Simple Active Contour for Visual Tracking
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AGV Guidance System: An Application of Simple Active Contour for Visual Tracking

Authors: M.Asif, M.R.Arshad, P.A.Wilson

Abstract:

In this paper, a simple active contour based visual tracking algorithm is presented for outdoor AGV application which is currently under development at the USM robotic research group (URRG) lab. The presented algorithm is computationally low cost and able to track road boundaries in an image sequence and can easily be implemented on available low cost hardware. The proposed algorithm used an active shape modeling using the B-spline deformable template and recursive curve fitting method to track the current orientation of the road.

Keywords: Active contour, B-spline, recursive curve fitting.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1059743

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[1] Y. Wang, E.K. Teoh, D. Shen. "Lane detection and tracking using BSnake" Image and Vision Computing, 22, pg 269-280, 2004.
[2] A. Broggi. "Robust real time land and road detection in critical shadow conditions", Proceeding IEEE International Symposium on Computer vision, pp. 19 - 21, 1995.
[3] A Broggi S. Berte. "Vision-based road detection in automotive systems: a real time expectation-driven approach" J. Artificial Intell. Research, 3, pg. 325 - 348, 1995.
[4] A. Broggi. "A massively parallel approach to real-time vision based road marking detection" Proceeding IEEE Intelligent Vehicles -95, pg. 84 - 89, 1995
[5] H. Andrew, S. Lai, H. Nelson, C. Yung. "Lane detection by orientation and length discrimination" IEEE Transaction on Systems, Man and Cybernetics, pg. 539 - 548, 2000.
[6] A. Broggi. "An Image Reorganization Procedure for Automotive Road Following Systems" Proc. 2nd IEEE Intl Conf. on Image Processing, 1995.
[7] A. Broggi. "Parallel and Local Feature Extraction: a Real-Time Approach to Road Boundary Detection" IEEE Trans. On Image Processing, 4, pg. 217-223, 1995.
[8] S.K. Kenue and S. Bajpayee. "LANELOK: robust line and curvature fitting of lane boundries", In Proc/ of SPIE- Mobile Robots VII, 1831, pg 491 - 503, 1993.
[9] R. M. Haralick, S.R. Sternberg, X. Zhuang. "Image analysis using mathematical morphology", IEEE Transaction on PAMI, 9, pg. 532 - 550, 1987.
[10] A. Broggi, S. Berte. "A morphological model-driven approach to real time road boundary detection for vision based automotive systems", In Pro. 2nd IEEE Workshop on Application of Computer vision, pg. 73 - 90, 1994.
[11] A. Broggi, G. Conte, F. Gregoretti, C. Sansoe, L. M. Reyneri. "The PAPRICA massively parallel processor", In Proc. IEEE Intl Conf. on Massively Parallel Computing Systems, pg. 16 - 30, 1994.
[12] J. MacCormick, "Stochastic algorithms for visual tracking", Springer- Verlag London Limited, Cambridge, England. ISBN 1-85233-601-3, 2002
[13] A. Blake, M. Isard, "Active contour", Springer-Verlag London Limited, Cambridge, England. ISBN 3-540-76217-5, 1998