Abstract
We investigate how video-based recognition of rat social behavior is affected by the quality of the tracking data and the derived feature set. We look at the impact of two common tracking errors – animal misidentification and inaccurate localization of body parts. We further examine how the complexity of representing the articulated body in the features influences the recognition accuracy. Our analyses show that correct identification of the rats is required to accurately recognize their interactions. Precise localization of multiple body points is beneficial for recognizing interactions that are described by a distinct pose. Including pose features only leads to improvement if the tracking algorithm can provide that data reliably.
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Arakawa, T., Tanave, A., Ikeuchi, S., Takahashi, A., Kakihara, S., Kimura, S., Sugimoto, H., Asada, N., Shiroishi, T., Tomihara, K., Tsuchiya, T., Koide, T.: A male-specific QTL for social interaction behavior in mice mapped with automated pattern detection by a hidden Markov model incorporated into newly developed freeware. J. Neurosci. Meth. 234, 127–134 (2014)
Burgos-Artizzu, X.P., Dollár, P., Lin, D., Anderson, D.J., Perona, P.: Social behavior recognition in continuous video. In: Proc. CVPR, pp. 1322–1329 (2012)
de Chaumont, F., Coura, R.D.S., Serreau, P., Cressant, A., Chabout, J., Granon, S., Olivo-Marin, J.C.: Computerized video analysis of social interactions in mice. Nat. Methods 9(4), 410–417 (2012)
van Dam, E.A., van der Harst, J.E., ter Braak, C.J.F., Tegelenbosch, R.A.J., Spruijt, B.M., Noldus, L.P.J.J.: An automated system for the recognition of various specific rat behaviours. J. Neurosci. Meth. 218(2), 214–224 (2013)
Decker, C., Hamprecht, F.A.: Detecting individual body parts improves mouse behavior classification. In: Proc. of the Workshop on Visual Observation and Analysis of Vertebrate and Insect Behavior, Stockholm, Sweden (2014)
Giancardo, L., Sona, D., Huang, H., Sannino, S., Managò, F., Scheggia, D., Papaleo, F., Murino, V.: Automatic visual tracking and social behaviour analysis with multiple mice. PLoS One 8(9), e74557 (2013)
Kabra, M., Robie, A.A., Rivera-Alba, M., Branson, S., Branson, K.: JAABA: Interactive machine learning for automatic annotation of animal behavior. Nat. Methods 10(1), 64–67 (2012)
Matsumoto, J., Urakawa, S., Takamura, Y., Malcher-Lopes, R., Hori, E., Tomaz, C., Ono, T., Nishijo, H.: A 3D-video-based computerized analysis of social and sexual interactions in rats. PLoS One 8(10), e78460 (2013)
Ohayon, S., Avni, O., Taylor, A.L., Perona, P.: Roian Egnor, S.: Automated multi-day tracking of marked mice for the analysis of social behaviour. J. Neurosci. Meth. 219(1), 10–19 (2013)
Pérez-Escudero, A., Vicente-Page, J., Hinz, R.C., Arganda, S., de Polavieja, G.G.: idTracker: Tracking individuals in a group by automatic identification of unmarked animals. Nat. Methods 11(7), 743–748 (2014)
Peters, S.M., Pinter, I., de Heer, R.C., van der Harst, J.E., Spruijt, B.M.: Automated classification of rat social behavior. In: Proc. of Measuring Behavior, Wageningen, The Netherlands (2014)
Weissbrod, A., Shapiro, A., Vasserman, G., Edry, L., Dayan, M., Yitzhaky, A., Hertzberg, L., Feinerman, O., Kimchi, T.: Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment. Nat. Commun. 4, Article No. 2018 (2013)
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Lorbach, M., Poppe, R., van Dam, E.A., Noldus, L.P.J.J., Veltkamp, R.C. (2015). Automated Recognition of Social Behavior in Rats: The Role of Feature Quality. In: Murino, V., Puppo, E. (eds) Image Analysis and Processing — ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science(), vol 9280. Springer, Cham. https://doi.org/10.1007/978-3-319-23234-8_52
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DOI: https://doi.org/10.1007/978-3-319-23234-8_52
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