Izenburua
Implementation analysis for a hybrid particle filter on an FPGA based smart cameraEgilea (beste erakunde batekoa)
Beste instituzio
https://ror.org/03vcm6439Bertsioa
Bertsio argitaratua
Eskubideak
© SciTePressSarbidea
Sarbide irekiaArgitaratzailearen bertsioa
10.5220/0002834101740179Non argitaratua
International Conference on Computer Vision Theory and Applications Argitaratzailea
ScitepressGako-hitzak
Multitarget tracking
SystemC
Smart camera
Field Programmable Gate Arrays (FPGA) ... [+]
SystemC
Smart camera
Field Programmable Gate Arrays (FPGA) ... [+]
Multitarget tracking
SystemC
Smart camera
Field Programmable Gate Arrays (FPGA)
Transaction level modeling [-]
SystemC
Smart camera
Field Programmable Gate Arrays (FPGA)
Transaction level modeling [-]
Laburpena
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 alg ... [+]
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. [-]
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