Design and implementation of real time car theft detection in FPGA

Author

Ahilan, A. ; James, Esther Annlin Kala

Author_Institution

Dept. of ECE, Gov. Coll. of Technol., Coimbatore, India

fYear

2011

fDate

14-16 Dec. 2011

Firstpage

353

Lastpage

358

Abstract

Face detection is a technique that determines the locations and sizes of human face images. It detects facial features and ignores anything else, such as buildings, trees and bodies. Face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. This paper presents a hardware architecture for face detection system based on Viola Jones algorithm using Haar features. The proposed algorithm is used in real time car theft detection. The architecture for face detection is designed using Verilog HDL and implemented in Xilinx Virtex-5 ML505 FPGA. Its performance has been measured and compared with an equivalent software implementation.

Keywords

Haar transforms; automobiles; computer architecture; face recognition; field programmable gate arrays; hardware description languages; image classification; object detection; real-time systems; Haar classifier; Haar features; Verilog HDL; Viola Jones algorithm; Xilinx Virtex-5 ML505 FPGA; face detection system; facial feature detection; frontal human face; hardware architecture; human face image location; human face image size; multiview face detection; real time car theft detection; Algorithm design and analysis; Buffer storage; Computer architecture; Face; Face detection; Feature extraction; Field programmable gate arrays; FPGA; Face detection; Haar classifier; Viola Jones algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing (ICoAC), 2011 Third International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-0670-6

Type

conf

DOI

10.1109/ICoAC.2011.6165201

Filename

6165201