Automatic hardware implementation tool for a discrete Adaboost-based decision algorithm
Category
Journal Article
Authors
Mitéran, J., Matas, J., Bourennane, E., Paindavoine, M., Dubois, J.
Year
2005
Title
Automatic hardware implementation tool for a discrete Adaboost-based decision algorithm
Journal / book / conference
EURASIP Journal on Applied Signal Processing
Abstract
We propose a method and a tool for automatic generation of hardware implementation of a decision rule based on the Adaboost algorithm. We review the principles of the classification method and we evaluate its hardware implementation cost in terms of FPGA's slice, using different weak classifiers based on the general concept of hyperrectangle. The main novelty of our approach is that the tool allows the user to find automatically an appropriate tradeoff between classification performances and hardware implementation cost, and that the generated architecture is optimized for each training process. We present results obtained using Gaussian distributions and examples from UCI databases. Finally, we present an example of industrial application of real-time textured image segmentation.
Issue
7
Volume
2005
Pages
1035-1046