Abstract
This paper proposes a new tracking algorithm using the Kalman estimator based color SSD algorithm. The Kalman estimator includes the color information as well as the position and size of the face region in its state vector, to take care of the variation of skin color while faces are moving. Based on the estimated face position, the color SSD algorithm finds the face matching with the one in the previous frame even when the color and size of the face region vary. The features of a face region extracted by the color SSD algorithm are used to update the state of the Kalman estimator. In the experiments, it has been shown that the proposed algorithm traces multiple faces successfully even when they are overlapped for a moment.
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
Strom, J., Jebara, T., Basu, S., Pentland, A.: Real time tracking and modeling of faces: an EKF-based analysis by synthesis approach. In: Proceedings of the IEEE International Workshop on Modeling People, September 20, pp. 55–61 (1999)
Dornaika, F., Ahlberg, J.: Fast and reliable active appearance model search for 3-D face tracking. IEEE Transactions on Systems, Man and Cybernetics, Part B 34, 1838–1853 (2004)
Jun, W., Achanta, R., Kankanhalli, M., Mulhem, P.: A hierarchical framework for face tracking using state vector fusion for compressed video. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), vol. 3 (2003) III - 209-12
Ce, W., Brandstein, M.S.: A hybrid real-time face tracking system. In: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1998), vol. 6, pp. 3737–3740 (1998)
Kalman, R.E.: A new approach to linear filtering and prediction problems. Transactions of the ASME. Journal of Basic Engineering, 35–45 (1960)
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
Baek, K., Kim, B., Park, S., Han, Y., Hahn, H. (2005). Multiple Face Tracking Using Kalman Estimator Based Color SSD Algorithm. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_176
Download citation
DOI: https://doi.org/10.1007/11589990_176
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30462-3
Online ISBN: 978-3-540-31652-7
eBook Packages: Computer ScienceComputer Science (R0)