1. Kong, Y., Liang, W., Dong, Z., Jia, Y.: Recognizing human interaction from videos by a discriminative model. Inst. Eng. Technol. Comput. Vis. 4(8), 77–286 (2014)
2. Smart Innovation, Systems and Technologies;M Sivarathinabala,2016
3. Huynh-The, T., Le, B.V., Lee, S., et al.: Interactive activity recognition using pose-based spatio-temporal relation features and four-level pachinko allocation model. Inf. Sci. 369, 317–333 (2016)
4. Meng L., Qing L., Yang P., Miao J., Chen X.: Activity recognition based on semantic spatial relation. In: Proceedings of 21st International Conference on Pattern Recognition, Tsukuba, Japan, pp. 609–612 (2012)
5. Felzenszwalb, P., McAllester, D., Ramanan, D.: A discriminatively trained, multiscale, deformable part model. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1–8. IEEE (2008)