1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96
DOI: 10.1109/iscas.1996.541966
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A VLSI system implementation for real-time object detection

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Cited by 2 publications
(2 citation statements)
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“…Therefore, image processing (i.e., NUC, TF, SF, and/or THR) is applied to change the intensities of non-object pixels to an out-of-range intensity. 4 Following this dichotomous image processing, object detection processing (i.e., CLS and CTR) is applied to quantify object area and intensity characteristics.…”
Section: Image Processingmentioning
confidence: 99%
“…Therefore, image processing (i.e., NUC, TF, SF, and/or THR) is applied to change the intensities of non-object pixels to an out-of-range intensity. 4 Following this dichotomous image processing, object detection processing (i.e., CLS and CTR) is applied to quantify object area and intensity characteristics.…”
Section: Image Processingmentioning
confidence: 99%
“…Smith presented a real-time system called ASSET-2 [5] using custom hardware to detect and track moving objects against a moving background. Melton et al [6] designed a realtime system using VLSI implementation to detect different types of objects over a range of image characteristics. Also, there have been many imageprocessing systems achieving high-performance computing using either application-specific integrated circuits (ASICs) [7] or field programmable gate array (FPGA) [8].…”
Section: Introductionmentioning
confidence: 99%