FPGA-Based Embedded Motion Estimation Sensor. (15th July 2008)

• Record Type: Journal Article
• Authors: Wei, Zhaoyi; Lee, Dah-Jye; Nelson, Brent E.; Archibald, James K.; Edwards, Barrett B.
• Other Names: Pardo Fernando Academic Editor.
• Is Part Of: International journal of reconfigurable computing. Volume 2008(2008)
• Publication Date: 2008-07-15
• Subjects: Adaptive computing systems -- Periodicals; Adaptive computing systems; Periodicals; 004
• DOI: 10.1155/2008/636145
• Languages: English
• ISSNs: 1687-7195

Abstract

Abstract : Accurate real-time motion estimation is very critical to many computer vision tasks. However, because of its computational power and processing speed requirements, it is rarely used for real-time applications, especially for micro unmanned vehicles. In our previous work, a FPGA system was built to process optical flow vectors of 64 frames of640 × 480 image per second. Compared to software-based algorithms, this system achieved much higher frame rate but marginal accuracy. In this paper, a more accurate optical flow algorithm is proposed. Temporal smoothing is incorporated in the hardware structure which significantly improves the algorithm accuracy. To accommodate temporal smoothing, the hardware structure is composed of two parts: the derivative (DER) module produces intermediate results and the optical flow computation (OFC) module calculates the final optical flow vectors. Software running on a built-in processor on the FPGA chip is used in the design to direct the data flow and manage hardware components. This new design has been implemented on a compact, low power, high performance hardware platform for micro UV applications. It is able to process 15 frames of640 × 480 image per second and with much improved accuracy. Higher frame rate can be achieved with further optimization and additional memory space.