2018 4th International Conference on Big Data Computing and Communications (BIGCOM) 2018
DOI: 10.1109/bigcom.2018.00015
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Real Time Object Detection Based on FPGA with Big Data

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Cited by 3 publications
(1 citation statement)
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“…FPGAs' implementations for this technique include histogram equalization [714][715][716][717], retinex image enhancement [718][719][720], Infrared Focal Plane Arrays (IRFPA) image enhancement [721,722] and telescopes' atmospheric turbulence mitigation [723,724]. Other image processing applications that use FPGAs are image segmentation [725][726][727][728][729], object tracking [730][731][732][733][734], object detection [735][736][737][738][739] (real time object detection [740][741][742], moving objects detection [743][744][745], pedestrian detection [746][747][748][749] and background identification [750][751][752]), optical flow [753][754][755][756][757] and Hough transform [758]…”
Section: Image and Video Processingmentioning
confidence: 99%
“…FPGAs' implementations for this technique include histogram equalization [714][715][716][717], retinex image enhancement [718][719][720], Infrared Focal Plane Arrays (IRFPA) image enhancement [721,722] and telescopes' atmospheric turbulence mitigation [723,724]. Other image processing applications that use FPGAs are image segmentation [725][726][727][728][729], object tracking [730][731][732][733][734], object detection [735][736][737][738][739] (real time object detection [740][741][742], moving objects detection [743][744][745], pedestrian detection [746][747][748][749] and background identification [750][751][752]), optical flow [753][754][755][756][757] and Hough transform [758]…”
Section: Image and Video Processingmentioning
confidence: 99%