Title :
Automatic synthesis of small AdaBoost classifier in FPGA
Author :
Kadlcek, F. ; Fucik, Otto
Author_Institution :
Fac. of Inf. Technol., Brno Univ. of Technol., Brno, Czech Republic
Abstract :
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.
Keywords :
field programmable gate arrays; learning (artificial intelligence); pattern classification; AdaBoost classifier; FPGA; automatic classifier synthesis; classification architecture; image processing applications; optimization techniques; power consumption reduction; pre-processing units; processing resources; Classification algorithms; Field programmable gate arrays; Optimization; Power demand; Program processors; Table lookup; AdaBoost; Automatic synthesis; FPGA; FPGA optimisation; LBP;
Conference_Titel :
Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2013 IEEE 16th International Symposium on
Conference_Location :
Karlovy Vary
Print_ISBN :
978-1-4673-6135-4
Electronic_ISBN :
978-1-4673-6134-7
DOI :
10.1109/DDECS.2013.6549795
