tailieunhanh - Báo cáo hóa học: " Cost-Effective Video Filtering Solution for Real-Time Vision Systems"

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@ 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@ 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@ 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 Mpixels s and consumes 1700 to 2700 logic cells for the speed-optimized and area-optimized versions respectively. Thus the filter area represents only to 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 .