@proceedings {14479,
	title = {A Simple Human Activity Recognition Technique Using DCT},
	journal = {17th International Conference on Advanced Concepts for Intelligent Vision Systems ACIVS 2016},
	volume = {10016},
	year = {2016},
	pages = {37-46},
	publisher = {Springer Nature},
	address = {Lecce, Italy},
	abstract = {In this paper, we present a simple new human activity recognition method using discrete cosine transform (DCT). The scheme uses the DCT coefficients extracted from silhouettes as descriptors (features) and performs frame-by-frame recognition, which make it simple and suitable for real time applications. We carried out several tests using radial basis neural network (RBF) for classification, a comparative study against stat-of-the-art methods shows that our technique is faster, simple and gives higher accuracy performance comparing to discrete transform based techniques and other methods proposed in literature.},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-48680-2_4$\#$citeas},
	author = {Aziz Khelalef and Fakhreddine Ababsa and Nabil Benoudjit}
}
