2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT) 2017
DOI: 10.1109/icraect.2017.14
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FPGA Implementation of Image Block Generation and Color Space Conversion for the Gaussian Mixture Model

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Cited by 4 publications
(2 citation statements)
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“…The feasibility of using MBFFs by inputting an RTL design during synthesis is presented by K. S. Manu et al (20) , and M. P. Lin,. (21) Design constraints, MBFF cells library, and the logic synthesis tool available is illustrated in Figure . 4.…”
Section: Mbffs Logic Optimizationmentioning
confidence: 99%
“…The feasibility of using MBFFs by inputting an RTL design during synthesis is presented by K. S. Manu et al (20) , and M. P. Lin,. (21) Design constraints, MBFF cells library, and the logic synthesis tool available is illustrated in Figure . 4.…”
Section: Mbffs Logic Optimizationmentioning
confidence: 99%
“…Around the transformations [11], extraction of characteristics [12] or any other type of massive matrix operation, object detection and recognition and route planning, Programmable Logic Devices (PLD) have been used, since they require low power and a small amount of space to work [13,14] in addition to having the ability to perform real-time implementations, working with static and moving images [15], which requires thousands of iterations per second, with maximum use of FPGA resources, both in the combinatorial part (LUT) as in its storage part (memory bank), making efficient the implementations made with this type of devices [16,17]. The acquisition of real-time images has become an everyday task, using conventional cameras and stereo cameras for capturing in 3D [18,19], in which applications with digital programmable devices have been made to perform high-speed processing, achieving solutions where a single FPGA is used that replaces systems of multiple architectures that required connections and conversions of information, slowing down actions on processes in jobs where short response times are required [20,21].…”
Section: Introductionmentioning
confidence: 99%