Abstract
We present our current results in understanding the behavior of humans moving an a plane using multiple cameras. We exploit the merits of camera registration based on homography estimation to extract position on a 2D map. We use the output of HMM and SVM classifiers to model and extract human behaviour from both the target trajectory and the target short term activity (i.e., walking, running, abrupt motion etc). The proposed approach is verified experimentally in an indoor environment. The current results with a single moving agent are presented.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Moeslund, T.B., Hilton, A., Krüger, V.: A survey of advances in vision-based human motion capture and analysis. Comput. Vis. Image Underst. 104(2), 90–126 (2006)
Bobick, A.F., Davis, J.W.: The recognition of human movement using temporal templates. IEEE Trans. Pattern Anal. Mach. Intell. 23(3), 257–267 (2001)
Weinland, D., Ronfard, R., Boyer, E.: Free viewpoint action recognition using motion history volumes. Comput. Vis. Image Underst. 104(2), 249–257 (2006)
Efros, A.A., Berg, A.C., Mori, G., Malik, J.: Recognizing action at a distance. In: IEEE International Conference on Computer Vision, Nice, France, pp. 726–733 (2003)
Bregler, C., Malik, J.: Learning appearance based models: Mixtures of second moment experts. In: Mozer, M.C., Jordan, M.I., Petsche, T. (eds.) Advances in Neural Information Processing Systems, vol. 9, p. 845. The MIT Press, Cambridge (1997)
Ivanov, Y.A., Bobick, A.F.: Recognition of visual activities and interactions by stochastic parsing. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 852–872 (2000)
Bashir, F.I., Qu, W., Khokhar, A.A., Schonfeld, D.: Hmm-based motion recognition system using segmented pca. In: ICIP, vol. (3), pp. 1288–1291 (2005)
Sukthankar, G., Sycara, K.: Robust recognition of physical team behaviors using spatio-temporal models. In: Proceedings of Workshop on Modeling Others from Observations (MOO 2005) (2006)
Hu, W., Xiao, X., Fu, Z., Xie, D., Tan, T., Maybank, S.: A system for learning statistical motion patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(9), 1450–1464 (2006)
Brand, M., Oliver, N., Pentland, A.: Coupled hidden markov models for complex action recognition. In: CVPR 1997: Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR 1997), Washington, DC, USA, p. 994. IEEE Computer Society, Los Alamitos (1997)
Xiang, T., Gong, S.: Beyond tracking: Modelling activity and understanding behaviour. Int. J. Comput. Vision 67(1), 21–51 (2006)
Nguyen, N., Bui, H., Venkatesh, S., West, G.: Recognising and monitoring highlevel behaviours in complex spatial environments. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2003) (2003)
Wang, T., Li, J., Diao, Q., Hu, W., Zhang, Y., Dulong, C.: Semantic event detection using conditional random fields. In: CVPRW 2006: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop, Washington, DC, USA, p. 109. IEEE Computer Society, Los Alamitos (2006)
Xiang, T., Gong, S.: Unsupervised video behaviour profiling for on-the-fly anomaly detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)
Park, S., Trivedi, M.M.: Analysis and query of person-vehicle interactions in homography domain. In: VSSN 2006: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks, pp. 101–110. ACM, New York (2006)
Ribeiro, P., Santos-Victor, J.: Human activities recognition from video: modelling, feature selection and classification architecture. In: Proc. Workshop on Human Activity Recognition and Modelling (HAREM 2005), pp. 61–70 (2005)
Zivkovic, Z., van der Heijden, F.: Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn. Lett. 27(7), 773–780 (2006)
Khan, S.M., Shah, M.: A multiview approach to tracking people in crowded scenes using a planar homography constraint. In: ECCV, vol. (4), pp. 133–146 (2006)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision (ijcai). In: Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI 1981), April 1981, pp. 674–679 (1981)
Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77(2), 257–286 (1989)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kosmopoulos, D.I., Antonakaki, P., Valasoulis, K., Kesidis, A., Perantonis, S. (2008). Human Behavior Classification Using Multiple Views. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-87881-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87880-3
Online ISBN: 978-3-540-87881-0
eBook Packages: Computer ScienceComputer Science (R0)