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This paper presents a parallel face detection system based on multi-core processors, of which the hardware part uses the ZYNQ chips and multi-core processors and the software part includes the input and output of the image data and parallel detection. The part of parallel detection uses the cascade classifier based on MB-LBP feature and Gentle Adaboost algorithm. This system is aimed for a low-power...
Performance of data-intensive computing is one of the kernel problems that must be addressed to promote the development of embedded high-resolution object detection system. In this study, a new object detection framework based on manycore accelerator was established to improve object detection performance of embedded IoT devices. First, the fundamental principle of object detection method was reviewed...
Performance of high resolution image process is one of the kernel problems that must be addressed to promote the development of embedded system. In this study, a scalable bi-level parallel object detection framework based on heterogeneous manycore cluster was established to improve object detection performance for embedded device. First, the fundamental principle of local binary pattern and cascade...
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