Face Detection System on Ada boost Algorithm Using Haar Classifiers
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 6
Abstract
This paper presents an architecture for face detection based system on AdaBoost algorithm using Haar features. We describe here design techniques including image scaling, integral image generation, pipelined processing as well as classifier, and parallel processing multiple classifiers to accelerate the processing speed of the face detection system. Also we discuss the optimization of the proposed architecture which can be scalable for configurable devices with variable resources. The proposed architecture for face detection has been designed using Verilog HDL and implemented in Modelsim. Its performance has been measured and compared with an equivalent hardware implementation. We show about 35 time’s increase of system performance over the equivalent hardware implementation.
Authors and Affiliations
M Krishna, A. Srinivasulu, Prof (Dr. ) T. Basak
Keywords
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