Video tracking and behaviour segmentation of laboratory rodents
In this paper a system for laboratory rodent video tracking and behavior segmentation is proposed. A new real-time mouse pose estimation method is proposed based on semi-automatically generated animal shape model. Behavior segmentation into separate behavior acts is considered as a signal segmentation problem using hidden Markov models (HMM). Conventional first order HMM supposes a geometric prior distribution on segment’s length, which is inadequate for behavior segmentation. We propose a modification of conventional first order HMM that allows any prior distribution on segment’s length. Experiments show that the developed approach can lead to more adequate results comparing to conventional HMM.
KeywordsHidden Markov Models video tracking behaviour analysis active shape models Graph cuts minimal description length
- 3.Ethovision, Available from http://www.noldus.com.
- 4.Any-Maze, Available from http://www.anymaze.com.
- 7.A. Konushin, D. Vetrov, D. Kropotov, P. Voronin, M. Sidneev, E. Lomakina-Rumyatseva, I. Zarayskaya, and K. Anokhin, “Behavior Video Tracking System with Automatic Segmentation into Behavioral Acts,” in Proc. of GraphiCon (Moscow, 2008).Google Scholar
- 8.R. J. Elliot, L. Aggoun, and J. B. Moore, Hidden Markov Models: Estimation and Control (Springer, 1995).Google Scholar
- 9.T. Cootes, “An Introduction to Active Shape Models. Model Based Methods in Analysis of Biochemical Images” (2000), pp. 223–248.Google Scholar
- 10.C. Twining, et al., “Robust Tracking and Posture Description for Laboratory Rodents Using Active Shape Models,” Behavior Research Methods, Instruments and Computers, Measuring Behavior (Special Issue, 2001), Vol. 33, No. 3.Google Scholar
- 11.V. Vezhnevets and V. Konouchine, ““Grow-Cut”-Interactive Multi-Label N-D Image Segmentation,” in Proc. of GraphiCon (Novosibirsk, 2005).Google Scholar
- 12.Y. Li, et al., “Video Object Cut and Paste,” in Proc. of ACM SIGGRAPH (Los Angeles, 2005), pp. 595–600.Google Scholar
- 13.T. Cootes, Timeline of Developments in Algorithms for Finding Correspondences across Sets of Shapes and Images (2005).Google Scholar
- 15.A. Ericsson, “Automatic Shape Modeling with Applications in Medical Imaging,” PhD Thesis (Lund University, Centre for Mathematical Sciences, 2006).Google Scholar
- 16.H. H. Thodberg and H. Olafsdottir, “Adding Curvature to Minimum Description Length Shape Models,” in Proc. British Machine Vision Conf. (Norwich, 2003).Google Scholar