2026-04-07T11:27:08Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/63862024-05-24T11:21:43Zcom_20.500.11984_1143col_20.500.11984_1148

00925njm 22002777a 4500 dc Zuriarrain Arcarazo, Iker author Arana-Arexolaleiba, Nestor author 2010 Design and development of embedded devices which perform computer vision related task presents many challenges, many of which stem from attempting to fit the complexity of many higher level vision algorithms into the constraints presented by programmable embedded devices. In this paper, we follow a simulation-based methodology in order to develop an architecture which will allow us to implement a mixed Particle Filter/Markov Chain Monte Carlo tracking algorithm in an FPGA-based smart camera, using tools such as SystemC and Transaction LevelModeling (TLM). Use of these tools has allowed us to make some preliminary predictions as to the memory usage and performance of the system, which will be compared to the results of more detailed simulations obtained in the way towards implementing this system. 9789896740283 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=75761 https://hdl.handle.net/20.500.11984/6386 Multitarget tracking SystemC Smart camera Field Programmable Gate Arrays (FPGA) Transaction level modeling Implementation analysis for a hybrid particle filter on an FPGA based smart camera