Author:
Ribeiro Ricardo A.,Marques Jorge S.,Lemos João M.
Publisher
Springer Berlin Heidelberg
Reference10 articles.
1. Duong, T., Bui, H., Phung, D., Venkatesh, S.: Activity recognition and abnormality detection with the switching hidden semi-markov model. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 1, pp. 838–845 (2005)
2. Li, B., Ayazoglu, M., Mao, T., Camps, O., Sznaier, M.: Activity recognition using dynamic subspace angles. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3193–3200 (2011)
3. Nascimento, J., Marques, J., Lemos, J.: Modeling and classifying human activities from trajectories using a class of space-varying parametric motion fields. IEEE Transactions on Image Processing 22, 2066–2080 (2013)
4. Oliver, N., Rosario, B., Pentland, A.: A bayesian computer vision system for modeling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 831–843 (2000)
5. Nascimento, J., Figueiredo, M., Marques, J.: Activity recognition using a mixture of vector fields. IEEE Transactions on Image Processing 22, 1712–1725 (2013)