Abstract
Using Comaniciu et al.’s approach as a basis, [9], this paper presents a real-time tracking technique in which a multiple target model is used. The use of a multiple model shall enable us to provide the tracking scheme with a greater robustness for tracking tasks on sequences in which there are changes in the lighting of the tracked object. In order to do so, a selection function is defined for the model to be used in the search process of the object in each frame.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Isard, M., Blake, A.: Contour tracking by stochastic propagation of conditional density. In: Proceedings of European Conference on Computer Vision, Cambridge, UK, pp. 343–356 (1996)
Sidenbladh, H., Black, M.J.: Learning image statistics for bayesian tracking. In: Proceedings of IEEE International Conference on Computer Vision (ICCV), Vancouver, Canada, vol. 2, pp. 709–716 (2001)
Wu, Y., Huang, T.S.: A co-inference approach to robust visual tracking. In: Proceedings of Eighth IEEE International Conference on Computer Vision, vol. 2, pp. 26–33 (2001)
Avidan, S.: Support vector tracking. In: Proceedings of Conference on Computer Vision and Pattern Recognition, pp. 184–191 (2001)
Gavrila, D., Philomin, V.: Real-time object detection for smart vehicles. In: Proceedings of IEEE International Conference on Computer Vision, pp. 87–93 (1999)
Toyama, K., Blake, A.: Probabilistic tracking in a metric space. In: Proceedings of IEEE International Conference on Computer Vision, vol. 2, pp. 50–57 (2001)
Bradski, G.R.: Computer vision face tracking for use in a perceptual user interface. Intel Technology Journal (1998)
Liu, T.-L., Chen, H.-T.: Real-time tracking using trust-region methods. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(3), 397–402 (2004)
Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(5), 564–577 (2003)
Kailath, T.: The divergence and bhatacharyya distance measures in signal selection. IEEE Transactions on Comm. Technology 15, 52–60 (1967)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lucena, M.J., Fuertes, J.M., Pérez de la Blanca, N. (2005). Real-Time Tracking Using Multiple Target Models. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_3
Download citation
DOI: https://doi.org/10.1007/11492429_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
Online ISBN: 978-3-540-32237-5
eBook Packages: Computer ScienceComputer Science (R0)