Publication Details
Automatic synthesis of small AdaBoost Classifier in FPGA
AdaBoost
Novel pre-processing units for AbaBoost classifiers are introduced which can improve performance and reduce power consumption in many image processing applications. An approach for automatic classifier synthesis to the FPGA is also described. The introduced classification architecture is intensively saving processing resources and very fast as well. Several optimization techniques that are used in the process of automatic synthesis are also shown.
Novel pre-processing units for AbaBoost classifiers are introduced which can improve performance and reduce power consumption in many image processing applications. An approach for automatic classifier synthesis to the FPGA is also described. The introduced classification architecture is intensively saving processing resources and very fast as well. Several optimization techniques that are used in the process of automatic synthesis are also shown.
@INPROCEEDINGS{FITPUB10288, author = "Filip Kadl\v{c}ek and Otto Fu\v{c}\'{i}k", title = "Automatic synthesis of small AdaBoost Classifier in FPGA", pages = "1--6", booktitle = "IEEE Design and Diagnostics of Electronic Circuits and Systems DDECS'2013", year = 2013, location = "Brno, CZ", publisher = "IEEE Computer Society", ISBN = "978-1-4673-6133-0", language = "english", url = "https://www.fit.vut.cz/research/publication/10288" }