A self-adaptive heterogeneous multi-core architecture for embedded real-time video object tracking
Journal of Real-Time Image Processing
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Sequential Monte Carlo techniques are among the principal tools for the on-line estimation of the state of a non-linear dynamic system. We propose a framework for the multithreaded implementation of the widely popular sampling importance resampling (SIR) method on hybrid CPU/FPGA systems. The framework is based on the multithreaded reconfigurable operating system ReconOS which allows for an easy repartitioning of threads between hard- and software. We demonstrate the framework on a case study for visual object tracking and evaluate the performance of different hardware/software partitionings.