An Evaluation of the Suitability of FPGAs for Embedded Vision Systems

MacLean, W. James

doi:10.1109/cvpr.2005.408

Cited by 92 publications

(46 citation statements)

References 21 publications

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“…In particular, FPGA implementation outperform the CPU-based implementations when a large number of operations can be parallelised. As already reported by [15] and [9], the FPGA is well suited for low-level image processing tasks. This results are the starting point for our…”

Section: Resultsmentioning

confidence: 65%

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Reconfigurable FPGA architecture for computer vision applications in Smart Camera Networks

Maggiani¹,

Salvadori²,

Petracca³

et al. 2013

2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)

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Smart Camera Networks (SCNs) is nowadays an emerging research field which represents the natural evolution of centralized computer vision applications towards full distributed and pervasive systems. In this vision, one of the biggest effort is in the definition of a flexible and reconfigurable SCN node architecture able to remotely update the application parameter and the performed computer vision application at runtime. In this respect, we present a novel SCN node architecture based on a device in which a microcontroller manage all the network functionality as well as the remote configuration, while an FPGA implements all the necessary module of a full computer vision pipeline. In this work the envisioned architecture is first detailed in general terms, then a real implementation is presented to show the feasibility and the benefits of the proposed solution. Finally, performance evaluation results underline the potential of an hardware software codesign approach in reaching flexibility and reduced processing time.

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Section: Resultsmentioning

confidence: 65%

“…FPGAs are targeted to the embedded devices where a hardware design is able to refine and upgrade a wide range of embedded designs with a limited development effort [9]. The processing power of an FPGA is directly proportional to the pro- where f CLK is the clock frequency of the So-bel module.…”

Section: Fpga Implementationmentioning

confidence: 99%

Reconfigurable FPGA architecture for computer vision applications in Smart Camera Networks

Maggiani¹,

Salvadori²,

Petracca³

et al. 2013

2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)

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show abstract

“…Recent advances in their development lead to a similar performance to recent specific integrated circuits, but with a lower cost. For this, FPGAs are widely used in image processing tasks (MacLean, 2005). However, they have certain limitations, as it is necessary to design a new hardware, as well as control units, for each application, the designer must be an expert in hardware, software and the algorithm to be implemented.…”

Section: Hardware For Image Processingmentioning

confidence: 99%

An FPGA-based Topographic Computer for Binary Image Processing

Nieto¹,

Brea²,

Vilariño³

2009

Image Processing

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“…Fig. 7 (b) [10] shows the architecture of a simple logic block containing one four input LUT and one flip-flop for storage. Logic blocks are sometimes designed to allow them to be efficiently used as local memory and shift registers, and they generally contain dedicated carry circuitry in order to simplify implementation of adders and multipliers.…”

Section: Fpga Technologymentioning

confidence: 99%

“…Embedded Systems & Image Processing: In [17] presents advantages and limitation of FPGA technology, its suitability for image processing and computation. The advantages are reconfigurability, the ability to exploit parallelism.…”

Section: Dsp System Using Fpgamentioning

confidence: 99%

An Overview of Reconfigurable Hardware for Efficient Implementation of DSP Algorithms

Kadam¹

2014

IOSRJEN

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-Reconfigurable hardware is emerging as the best option for the efficient implementation of complex and computationally expensive signal processing algorithms. Reconfigurable hardware exploits the benefit of high of computational efficiency of hardware as well as flexibility of software implementation. Field Programmable Gate Array (FPGA) which finds wide range of applications in the field of signal processing, wireless communication, image and video processing has gained popularity as a reconfigurable logic over past decade. In this paper, various hardware aspects of reconfigurable such as architectures and models including external coupling and run-time reconfigurable systems have been studied. Moreover, a case study of most widely used commercial FPGA technologies from Xilinx and upcoming three dimensional 3D-FPGA architecture is presented. It is revealed that the reconfigurable hardware can be used in a variety of DSP applications. FPGA implementation of digital signal processing applications show enhanced outcome in terms of speed as compared to software implementation and previously reported architecture.

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An Evaluation of the Suitability of FPGAs for Embedded Vision Systems

Abstract: Abstract

Cited by 92 publications

References 21 publications

Reconfigurable FPGA architecture for computer vision applications in Smart Camera Networks

Reconfigurable FPGA architecture for computer vision applications in Smart Camera Networks

An FPGA-based Topographic Computer for Binary Image Processing

An Overview of Reconfigurable Hardware for Efficient Implementation of DSP Algorithms

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