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FPGA-Based Embedded Motion Estimation Sensor
Joint Authors
Nelson, Brent E.
Archibald, James K.
Edwards, Barrett B.
Wei, Zhaoyi
Lee, Dah-Jye
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-07-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
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 of 640×480 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 of 640×480 image per second and with much improved accuracy.
Higher frame rate can be achieved with further optimization and additional memory space.
American Psychological Association (APA)
Wei, Zhaoyi& Lee, Dah-Jye& Nelson, Brent E.& Archibald, James K.& Edwards, Barrett B.. 2008. FPGA-Based Embedded Motion Estimation Sensor. International Journal of Reconfigurable Computing،Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-987952
Modern Language Association (MLA)
Wei, Zhaoyi…[et al.]. FPGA-Based Embedded Motion Estimation Sensor. International Journal of Reconfigurable Computing No. 2008 (2008), pp.1-9.
https://search.emarefa.net/detail/BIM-987952
American Medical Association (AMA)
Wei, Zhaoyi& Lee, Dah-Jye& Nelson, Brent E.& Archibald, James K.& Edwards, Barrett B.. FPGA-Based Embedded Motion Estimation Sensor. International Journal of Reconfigurable Computing. 2008. Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-987952
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-987952