Multithreaded Image Processing Using ReconOS on Reconfigurable Computing System

This paper presents the implementation of Particle filter based Object tracking using ReconOS on Reconfigurable Computing System. Multithreading can be used to improve the performance of complex Image processing algorithms, but their sequential execution is a barrier which can be tackled by the effective use of FPGAs. In order to accomplish the desired performance, an operating system, ReconOS is used on an ARM based CPU-FPGA hybrid platform. ReconOS extends communication and synchronization primitives of operating systems like mutexes, semaphores, condition variable and message boxes to reconfigurable hardware. ReconOS provides the advantage of mapping the particle filter algorithm into reconfigurable hardware and accessing the data from software threads. Thus providing improved performance, portability and unified appearance as well as transparency to the object tracking application.