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Content Provider | IEEE Xplore Digital Library |
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Author | Ji Ho Song Nguyen Tuong Thuy Seunghun Jin Dongkyun Kim Jae Wook Jeon |
Copyright Year | 2010 |
Description | Author affiliation: School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea (Ji Ho Song; Nguyen Tuong Thuy; Seunghun Jin; Dongkyun Kim; Jae Wook Jeon) |
Abstract | Measuring a vehicle's speed using a video image is an important technique in an intelligent transportation system. This paper presents a hardware implemented vehicle speed measurement (VSM) system. The operation of the system consists of three steps. First, we remove vehicles from a series of captured images to create a background. To do this, we introduce a simplified exclusion algorithm optimized to the hardware. Second, we subtract the background from the incoming image and concurrently apply affine rectification. Finally, based on the rectified image, we track the vehicles and measure the velocity. The system uses two SRAMs and one FIFO to store images. At each step, we present a memory management method of two SRAMs to store multiple images in one SRAM. This enables our system to obtain two images in a single full memory scan. Our system obtained ± 7.5% velocity error using an experiment comparing the vehicle's speedometer and the vision-based measured velocity. |
Starting Page | 1691 |
Ending Page | 1696 |
File Size | 842071 |
Page Count | 6 |
File Format | |
ISBN | 9781424474530 |
e-ISBN | 9788993215021 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-10-27 |
Publisher Place | Korea (South) |
Access Restriction | Subscribed |
Rights Holder | IEEE International Conference on Control & Automation |
Subject Keyword | image processing Image color analysis FPGA Random access memory Cameras Hardware hardware architecture Velocity measurement real-time system Pixel Vehicles Vehicle speed measurement |
Content Type | Text |
Resource Type | Article |
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