@conference {3269,
	title = {A Sample Human Activity Recognition Technique Using DCT},
	booktitle = {International Conference on Advanced Concepts for Intelligent Vision Systems. ACIVS 2016},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	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.

},
	author = {Aziz Khelalef and Fakhreddine Ababsa and Nabil Benoudjit}
}
