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Nowadays, computer vision algorithms have countless application domains. On the one hand, these algorithms are typically computationally demanding, on the other hand, they are often used in embedded systems, which have stringent constraints on, e. g., size or power. In this work, we present the benefits of mapping compute-intensive imaging algorithms on(More)
Optical flow is widely used in many applications of portable mobile devices and automotive embedded systems for the determination of motion of objects in a visual scene. Also in robotics, it is used for motion detection, object segmentation, time-to-contact information, focus of expansion calculations, robot navigation, and automatic parking for vehicles.(More)
This paper describes a runtime reconfigurable bus arbitration technique for concurrent applications on heterogeneous MPSoC architectures. Here, a hardware/software approach is introduced as part of a runtime framework that enables selecting and adapting different policies (i. e., fixed-priority, TDMA, and Round-Robin) such that the performance goals of(More)
Continuous software and hardware innovations impose on the one hand a high degree of flexibility from an algorithm and on the other hand it requires that a given processing architecture has the capability to adapt to changing computation patterns at run-time. In this work, we demonstrate how a computer vision application can adapt itself at runtime in order(More)
Recently, DSP and FPGA devices have been employed in cooperative computing architectures for embedded systems which has required high complexity computing process which in turn demanded efficient techniques capable of measuring the total effective gain of the partitioning of a given code. In order to meet that need and based on Amdahl's Law a mathematical(More)
Multiprocessor system-on-chip (MPSoC) designs offer a lot of computational power assembled in a compact design. The computing power of MPSoCs can be further augmented by adding massively parallel processor arrays (MPPA) and specialized hardware with instruction-set extensions. On-chip MPPAs can be used to accelerate low-level image-processing algorithms(More)
Nowadays MPSoCs (Multiprocessors system-on-chip) have been employed in embedded systems which require high computing complexity and power consumption savings. For multiprocessor architectures a metric for measuring the speedup provided by different cores is one of the main characteristics which can be verified. Besides, showing the performance enhancements(More)