Title :
Real-Time Vision-Based Stop Sign Detection System on FPGA
Author :
Cao, Tam Phuong ; Deng, Guang
Author_Institution :
Dept. of Electron. Eng., Latrobe Univ., Bundoora, VIC
Abstract :
Many fatal accidents have happened due to drivers failing to stop at stop signs. A stop sign recognition system could be used to reduce the risk of accidents by warning the driver when a vehicle approaches a stop sign at an unexpected speed. In this paper, we describe the implementation of a real-time vision-based stop sign recognition system on a Xilinx Virtex-4 Field Programmable Gate Array (FPGA) device. This system uses a variant of the Histogram of Oriented Gradient (HoG) feature set and the efficient integral map for processing. Simulation and in-vehicle test results show good potential for deploying the system in practice. The FPGA system is able to process 60 frames of 752times480 pixels per second.
Keywords :
computer vision; driver information systems; feature extraction; field programmable gate arrays; gradient methods; image recognition; object detection; real-time systems; road accidents; road vehicles; Xilinx Virtex-4 FPGA; field programmable gate array; integral map; oriented gradient histogram feature set; real-time vision-based stop sign detection system; road vehicle accident; stop sign recognition system; Accidents; Automotive engineering; Costs; Driver circuits; Field programmable gate arrays; Histograms; Object detection; Pixel; Real time systems; Road safety; FPGA; image processing; real-time; stop sign recognition;
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location :
Canberra, ACT
Print_ISBN :
978-0-7695-3456-5
DOI :
10.1109/DICTA.2008.37
