AGV Guidance System: An Application of Simple Active Contour for Visual Tracking
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.
[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
[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
@article{"International Journal of Information, Control and Computer Sciences:53844", author = "M.Asif and M.R.Arshad and P.A.Wilson", title = "AGV Guidance System: An Application of Simple Active Contour for Visual Tracking", 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.", volume = "1", number = "6", pages = "1613-4", }