Janeth Cruz, Leopoldo Altamirano, Josué Pedroza



This paper compares the performance of adaptive trackers based on multiple algorithms. The aim of using multiple algorithms is to increase the robustness of the trackers under varying conditions. We perform two estimation algorithms UKF and IMM to measure the performance of tracking on outdoor scenes with occlusions. The purpose of this paper is to measure and evaluate tracker reliability for be able to determine the position of a target. The performance is evaluated using metrics related to truth track. We give a positional evaluation and statistics values of the performance of visual tracking systems, which adapt to changing environments.


  1. Bar-Shalom, Y. and Blair, W. D. (2000). Multitarget Multisensor Tracking, Applications and Advances. Artech House, Norwood, Ma., volume iii edition.
  2. D. Hall, J. Nascimento, P. R. E. A. P. M. S. P. T. L.-R. E. R. F. J. S. and Crowley, J. (2005). Comparison of target detection algorithms using adaptive background models. In Proceedings of International Workshop on Performance Evaluation of Tracking and Surveillance.
  3. Djemel Ziou, S. T. (1998). Edge detection techniques an overview. In International Journal of Pattern Recognition and Image Analysis.
  4. J. Black, E. T. and P., R. (2003). A novel method for video tracking performance evaluation. In Joint IEEE Int'l Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), pp. 125-132 . IEEE.
  5. Jae-Soo Cho, D.-J. K. and Park, D.-J. (2000). Robust centroid target tracker based on new distance features in cluttered image sequences. In IEICE Trans. Inf. & Syst, Vol. E83-D, No. 12 .
  6. Julier, S. J. and Uhlmann, J. K. (1997). A new extension of the kalman filter to nonlinear systems. In Proceedings of SPIE AeroSense Symposium. SPIE.
  7. Kishore, M. S. and Rao, K. V. (2001). Robust correlation tracker. In Academy Proceedings in Engineering Sciences, Sadhana, Vol. 26, Part 3, pp. 227-236 .
  8. Li, X. R. (2000). A survey of maneuvering target tracking: Dynamic models. In Proceedings of SPIE Conference on Signal and Data Processing of Small Targets. Vol. 4048, p. 212-235 . SPIE.
  9. Needham, C. J. and Boyle, R. D. (2003). Performance evaluation metrics and statistics for positional tracker evaluation. In Proceedings of ICVS 2003, LNCS 2626, pp. 278-289 . Springer-Verlag.
  10. Ronda, V. and Shue, L. (2000). Multi-mode signal processor for imaging infrared seeker. In Proceedings of the SPIE, Acquisition, tracking and pointing. Vol. 4025. pp. 142-150 . SPIE.
  11. Sezgin, M. and Sankur, B. (2004). Survey over image thresholding techniques and quantitative performance evaluation. In Journal of Electronic Imaging. Vol. 13, Number 1, pp. 146165. SPIE.
  12. Smith, S. M. and Brady, J. (1997). Susan- a new approach to low level image processing. In International Journal of Computer Vision, Vol. 23, No. 1.
  13. Tao Yang, Stan Z. Li, Q. P. and Li, J. (2005). Real-time multiple objects tracking with occlusion handling in dynamic scenes. In IEEE Computer Society Conference on Computer Vision Pattern Recognition (CVPR 2005). Vol. 1, 20-25. pp. 970-975 . IEEE.
  14. Tine Lefebvre, H. B. and Shutter, J. D. (2004). Kalman filters for nonlinear systems: a comparison of performance. In International Journal of Control. Vol. 77, Number 7, pp. 639-653(15) .
  15. Xu, M. and Ellis, T. (2002). Partial observation vs. blind tracking through occlusion. In Proceeding of the 13th British Machine Vision Conference (BMVC 2002).

Paper Citation

in Harvard Style

Cruz J., Altamirano L. and Pedroza J. (2006). PERFORMANCE OF ADAPTIVE TRACKING ALGORITHMS . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 229-236. DOI: 10.5220/0001377702290236

in Bibtex Style

author={Janeth Cruz and Leopoldo Altamirano and Josué Pedroza},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},

in EndNote Style

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
SN - 972-8865-40-6
AU - Cruz J.
AU - Altamirano L.
AU - Pedroza J.
PY - 2006
SP - 229
EP - 236
DO - 10.5220/0001377702290236