Abstract
In this article, we present an object tracking system which allows interactive user feedback to improve the accuracy of the tracking process in real-time video. In addition, we describe the hybrid maximum likelihood similarity, which integrates traditional metrics with the maximum likelihood estimated metric. The hybrid similarity measure is used to improve the dynamic relevance feedback process between the human user and the objects detected by our system.
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.
References
Lazarevic-McManus, N., Renno, J., Jones, G.A.: Performance evaluation in visual surveillance using the F-measure. In: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks, pp. 45–52 (2006)
Horprasert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow Detection. In: IEEE Frame-Rate Applications Workshop, Kerkyra, Greece, IEEE, Los Alamitos (1999)
Rui, Y., Huang, T.S.: Relevance feedback techniques in image retrieval. In: Lew, M.S. (ed.) Chapter in Principles of Visual Information Retrieval, pp. 219–258. Springer, Heidelberg (2001)
Sebe, N., Lew, M.S., Huijsmans, D.P.: Toward Improved Ranking Metrics. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1132–1141 (2000)
Lew, M.S., Huang, T.S., Wong, K.: Learning and Feature Selection in Stereo Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 16(9), 869–881 (1994)
Sebe, N., Lew, M.S., Cohen, I., Sun, Y., Gevers, T., Huang, T.S.: Authentic Facial Expression Analysis. In: Proceedings of the International Conference on Automatic Face and Gesture Recognition(FG), Seoul, Korea, pp. 517–522 (May 2004)
Lew, M.S., Sebe, N., Djeraba, C., Jain, R.: Content-based Multimedia Information Retrieval: State-of-the-art and Challenges. ACM Transactions on Multimedia Computing, Communication, and Applications 2(1), 1–19 (2006)
Sebe, N., Lew, M.S.: Wavelet Based Texture Classification. In: Proceedings of the 15th International Conference on Pattern Recognition(ICPR), Barcelona, Spain, vol. III, pp. 959–962 (2000)
Lew, M.S.: Information theoretic view-based and modular face detection. In: Proceedings of the International Conference on Automatic Face and Gesture Recognition(FG), Killington, VT, pp. 198–203 (1996)
Lew, M.S., Huijsmans, N.: Information Theory and Face Detection. In: Proceedings of the International Conference on Pattern Recognition(ICPR), Vienna, Austria, August 25-30, pp. 601–605 (1996)
Cohen, I., Sebe, N., Garg, A., Lew, M.S., Huang, T.S.: Facial expression recognition from video sequences. In: Proceedings of the IEEE International Conference Multimedia and Expo (ICME), Lausanne, Switzerland, vol. I, pp. 641–644 (2002)
Sebe, N., Lew, M.S., Zhou, X., Huang, T.S., Bakker, E.: The State of the Art in Image and Video Retrieval. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds.) CIVR 2003. LNCS, vol. 2728, pp. 1–8. Springer, Heidelberg (2003)
Lew, M.S.: Next Generation Web Searches for Visual Content. IEEE Computer, 46–53 (2000)
Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Computing Surveys 38(4), article no. 13 (2006)
Cucchiara, R.: Multimedia surveillance systems. In: Proceedings of the third ACM international workshop on Video surveillance & sensor networks, pp. 3–10. ACM, New York (2005)
Siddiqui, M., Medioni, G.: Robust real-time upper body limb detection and tracking. In: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks, pp. 53–60 (2006)
Nam, W., Han, J.: Motion-based background modeling for foreground segmentation. In: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks, pp. 35–44 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Oerlemans, A., Thomee, B. (2007). Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure. In: Lew, M., Sebe, N., Huang, T.S., Bakker, E.M. (eds) Human–Computer Interaction. HCI 2007. Lecture Notes in Computer Science, vol 4796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75773-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-75773-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75772-6
Online ISBN: 978-3-540-75773-3
eBook Packages: Computer ScienceComputer Science (R0)