@inproceedings {PN9309,
	title = {Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF},
	author = {Sven Hellbach AND Julian Eggert AND Edgar K{\"o}rner AND Horst-Michael Gro{\ss}},
	year = {2009},
	abstract = {This paper{\textquoteright}s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is applied to a grid like representation of the trajectories. From a set of training samples a number of basis primitives is generated. These basis primitives are applied to reconstruct an observed trajectory. Hence, the reconstruction information can be used for classification. Furthermore, the basis primitives can be used to predict the observed movement. For the experiments, real movement data is used to evaluate several aspects of the proposed approach. In particular, the focus of the experiments is set to the prediction task.},
	publisher = {Springer},
	booktitle = {Artificial Neural Networks - {ICANN} 2009, 19th International Conference},
	editor = {Cesare Alippi and Marios M. Polycarpou and Christos G. Panayiotou and Georgios Ellinas},
	pages = {804{\textendash}814},
	series = {Lecture Notes in Computer Science}
}