A novel mice interaction recognition method by using machine learning

Xu Pan; Yuesheng Zhu; Guibo Luo; Biao Guo

doi:10.1117/12.2540193

14 August 2019 A novel mice interaction recognition method by using machine learning

Xu Pan, Yuesheng Zhu, Guibo Luo, Biao Guo

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111791V (2019) https://doi.org/10.1117/12.2540193
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

Mice interaction recognition has been widely employed in animal observation experiments since it can provide useful biological signals for researchers to identify the social behaviors of animal models. Rather than manual observation, automatic observation systems based on computer vision can be used to detect and track the mice behaviors dynamically, which has become popular in mice interaction recognition. In order to enhance the accuracy of recognition, a novel mice interaction recognition method by using machine learning is proposed in this paper. A new elliptical model is developed to fit every mouse and to extract its motion and shape features. For selecting the optimal feature, we investigate the influence of different features on the result. We improve the average recognition result on the novel dataset RatSI.

Citation Download Citation

Xu Pan, Yuesheng Zhu, Guibo Luo, and Biao Guo "A novel mice interaction recognition method by using machine learning", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111791V (14 August 2019); https://doi.org/10.1117/12.2540193

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