TY  - JOUR
SN  - 1687-9724
VL  - 2012
PB  - Hindawi Publishing Corporation
EP  - 19
A1  - Casalino, Gabriella
A1  - Del Buono, Nicoletta
A1  - Minervini, Massimo
Y1  - 2012///
SP  - 1
ID  - eprints1339
TI  - Nonnegative Matrix Factorizations Performing Object Detection and Localization
AV  - public
JF  - Applied Computational Intelligence and Soft Computing
N2  - We study the problem of detecting and localizing objects in still, gray-scale images making use of the part-based representation provided by nonnegative matrix factorizations. Nonnegative matrix factorization represents an emerging example of subspace methods, which is able to extract interpretable parts from a set of template image objects and then to additively use them for describing individual objects. In this paper, we present a prototype system based on some nonnegative factorization algorithms,
which differ in the additional properties added to the nonnegative representation of data, in order to investigate if any additional constraint produces better results in general object detection via nonnegative matrix factorizations.
UR  - http://dx.doi.org/10.1155/2012/781987
ER  -