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Model-based Tracking

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BMVC91

Abstract

Model-based vision techniques originally developed for the recognition and pose recovery of a vehicle in a single image, are used here to track a vehicle through a sequence of images. The knowledge of the position of the camera with respect to the ground plane is used to reduce the search space of possible vehicle positions from six dimensions to three.

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References

  1. Bray A.J. “Tracking Objects Using Image Disparity”, Image and Vision Computing, Vol. 8, No. 1, Feb. 1990, pp4–9.

    Article  Google Scholar 

  2. Stevens R. S. “Real-time 3D object tracking”, Image and Vision Computing, Vol. 8, No. 1, Feb. 1990. pp91–96.

    Article  Google Scholar 

  3. Harris C. & Stennett C. “Rapid — A Video Rate Object Tracker”, Proc. British Machine Vision Conference, BMVC-90, Oxford, 1990 pp73-77.

    Google Scholar 

  4. Lowe D. “Fitting Parametrized 3-D Models to Images”, IEEE-TPAMI, Vol. 13, No. 5, 1991 pp 441–450.

    Article  MathSciNet  Google Scholar 

  5. Hussain Z., Godden R., Sullivan G. D., Worrall A. D. & Marslin R. F. “DI02: Knowledge-based Image Processing”, ESPRIT P2152 deliverable PM-03-CEC.D102-01. Dec. 1990.

    Google Scholar 

  6. Worrall A. D. “Facet Based Model for Object Identification”, Alvey MMI-007 Technical Report, Reading University, 1987.

    Google Scholar 

  7. Brisdon K. “Alvey MMI-007 Vehicle Exemplar: Evaluation and Verification of Model Instances”, Proc. Alvey Vision Conference, AVC-87, Cambridge, 1987, pp33-37.

    Google Scholar 

  8. Brisdon K., Sullivan G. D. & Baker K. D. “Feature Aggregation in Iconic Model Matching”, Proc Alvey Vision Conference, AVC-88, Manchester, 1988, pp19-24.

    Google Scholar 

  9. Brisdon K., “Hypothesis Verification using Iconic Matching” Doctoral Thesis, University of Reading, November 1990.

    Google Scholar 

  10. Marslin R. F., Sullivan G. D., & Baker K. D. “Kalman Filters in Constrained Model Based Tracking” BMVC91, Glasgow, 1991.

    Google Scholar 

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© 1991 Springer-Verlag London Limited

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Worrall, A.D., Marslin, R.F., Sullivan, G.D., Baker, K.D. (1991). Model-based Tracking. In: Mowforth, P. (eds) BMVC91. Springer, London. https://doi.org/10.1007/978-1-4471-1921-0_39

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  • DOI: https://doi.org/10.1007/978-1-4471-1921-0_39

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19715-7

  • Online ISBN: 978-1-4471-1921-0

  • eBook Packages: Springer Book Archive

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