back icon
close icon

Capture phrases in quotes for more specific queries (e.g. "rocket ship" or "Fred Lynn")

Conference Paper  June 1, 2013

An Embedded Vision Services Framework for Heterogeneous Accelerators

SRI Authors Gooitzen van der Wal, Michael Piacentino



E. Gudis, P. Lu, D. Berends, K. Kaighn, G. van der Wal, G. Buchanan, S. Chai, M. Piacentino, “An Embedded Vision Services Framework for Heterogeneous Accelerators”, Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference, pp.598, 603, 23-28 (June 2013)


This paper describes an architecture framework using heterogeneous hardware accelerators for embedded vision applications. This approach leverages the recent single-chip heterogeneous FPGAs that combine powerful multicore processors with extensive programmable gate array fabric on the same die. We present a framework using an extensive library of pipelined real time vision hardware accelerators and a service-based software architecture. This field-proven system design approach provides embedded vision developers with a powerful software abstraction layer for rapidly and efficiently integrating any of hardware accelerators for applications such as image stabilization, moving target indication, contrast normalization enhancement, and others. The framework allows the service-based software to take advantage of the hardware acceleration blocks available and perform the remainder of the processing in software. As performance requirements increase, more hardware acceleration can be added to the FPGA fabric, thus offloading the main processor.

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you. Expect a response within 48 hours.

Our Privacy Policy