Abstract
In this paper, a cow behavior recognition algorithm is proposed to detect the optimal time of insemination by using the support vector machine (SVM) classifier with motion history image (MHI) feature information. In the proposed algorithm, area information indicating the amount of movements is extracted from MHI, instead of motion direction which has been widely used for person action recognition. In the experimental results, it is confirmed that the proposed method detects the cow mounting behavior with the detection rate of 72%.
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References
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)
Bradski, G.-R., Davis, J.: Motion segmentation and pose recognition with motion history gradients. Mach. Vis. Appl. 13(3), 174–184 (2002)
Aggarwal, J.-K., Cai, Q.: Human motion analysis: a review. In: Proceedings of Nonrigid and Articulated Motion Workshop, pp. 90–102. IEEE (1997)
Aggarwal, J.-K., Cai, Q.: Human motion analysis: a review. Comput. Vis. Image Underst. 3(73), 428–440 (1999)
Aggarwal, J.-K., Park, S.-H.: Human motion: modeling and recognition of actions and interactions. In: Proceedings of 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT 2004, pp. 640–647. IEEE (2004)
Liu, J., Zheng, N.: Gait history image: a novel temporal template for gait recognition. In: 2007 IEEE International Conference on Multimedia and Expo, pp. 663–666. IEEE (2007)
Hu, M.-K.: Visual pattern recognition by moment invariants. IRE Trans. Inf. Theor. 8(2), 179–187 (1962)
Dawkins, M.-S.: A user’s guide to animal welfare science. Trends Ecol. Evol. 21(2), 77–82 (2006)
Ahad, M.A.R., Tan, J.-K., Kim, H.-S., Ishikawa, S.: Human activity recognition: various paradigms. In: International Conference on Control, Automation and Systems, 2008, ICCAS 2008, pp. 1896–1901. IEEE (2008)
DuPonte, M.W.: The basics of heat (estrus) detection in cattle. Cooperative Extension Service, College of Tropical Agriculture and Human Resources, University of Hawaii at Mānoa (2007)
Chung, Y.-W., Choi, D.-W., Choi, H.-S., Park, D.-H., Chang, H.-H., Kim, S.: Automated detection of cattle mounting using side-view camera. KSII Trans. Internet Inf. Syst. (TIIS) 9, 3151–3168 (2015). http://www.dbpia.co.kr/Article/NODE06507183
Guo, Y.-Z., Zhu, W.-X., Jiao, P.-P., Ma, C.-H., Yang, J.-J.: Multi-object extraction from topview group-housed pig images based on adaptive partitioning and multilevel thresholding segmentation. Biosyst. Eng. 135, 54–60 (2015)
Zivkovic, Z.: Improved adaptive Gaussian mixture model for background subtraction. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. 2, pp. 28–31. IEEE (2004)
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Ahn, SJ., Ko, DM., Choi, KS. (2017). Cow Behavior Recognition Using Motion History Image Feature. In: Karray, F., Campilho, A., Cheriet, F. (eds) Image Analysis and Recognition. ICIAR 2017. Lecture Notes in Computer Science(), vol 10317. Springer, Cham. https://doi.org/10.1007/978-3-319-59876-5_69
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DOI: https://doi.org/10.1007/978-3-319-59876-5_69
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