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Báo cáo hóa học: " Cost-Effective Video Filtering Solution for Real-Time Vision Systems"
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Cost-Effective Video Filtering Solution for Real-Time Vision Systems | EURASIP Journal on Applied Signal Processing 2005 13 2026-2042 2005 Viktor Fischer et al. Cost-Effective Video Filtering Solution for Real-Time Vision Systems Viktor Fischer Laboratoire Traitement du Signal et Instrumentation Unite Mixte de Recherche CNRS 5516 Universite Jean Monnet 10 rue Barrouin 42000 Saint-Etienne France Em ail fischer@univ-st-etienne.fr Rastislav Lukac Multimedia Laboratory The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King s College Road Toronto ON Canada M5S 3G4 Email lukacr@dsp.utoronto.ca Karl Martin Multimedia Laboratory The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King s College Road Toronto ON Canada M5S 3G4 Email kmartin@dsp.utoronto.ca Received 23 December 2003 Revised 12 November 2004 This paper presents an efficient video filtering scheme and its implementation in a field-programmable logic device FPLD . Since the proposed nonlinear spatiotemporal filtering scheme is based on order statistics its efficient implementation benefits from a bit-serial realization. The utilization of both the spatial and temporal correlation characteristics of the processed video significantly increases the computational demands on this solution and thus implementation becomes a significant challenge. Simulation studies reported in this paper indicate that the proposed pipelined bit-serial FPLD filtering solution can achieve speeds of up to 97.6 Mpixels s and consumes 1700 to 2700 logic cells for the speed-optimized and area-optimized versions respectively. Thus the filter area represents only 6.6 to 10.5 of the Altera STRATIX EP1S25 device available on the Altera Stratix DSP evaluation board which has been used to implement a prototype ofthe entire real-time vision system. As such the proposed adaptive video filtering scheme is both practical and attractive for real-time machine vision and surveillance systems as well as conventional video and .