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Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment

机译:在分布式环境中使用Apache Storm进行实时行人检测

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In general, a distributed processing is not suitable for dealing with image data stream due to thenetwork load problem caused by communications of frames. For this reason, image data streamprocessing has operated in just one node commonly. However, we need to process image datastream in a distributed environment in a big data era due to increase in quantity and quality ofmultimedia data. In this paper, we shall present a real-time pedestrian detection methodology ina distributed environment which processes image data stream in real-time on Apache Stormframework. It achieves sharp speed up by distributing frames onto several nodes called bolts,each of which processes different regions of image frames. Moreover, it can reduce theoverhead caused by synchronization by computation bolts which returns only the processingresults to the merging bolts.
机译:通常,由于由帧通信引起的网络负载问题,分布式处理不适合处理图像数据流。因此,图像数据流处理通常仅在一个节点中进行。然而,由于多媒体数据的数量和质量的增加,我们需要在大数据时代的分布式环境中处理图像数据流。在本文中,我们将提出一种在分布式环境中的实时行人检测方法,该方法可以在Apache Stormframework上实时处理图像数据流。通过将帧分布到称为“螺栓”的几个节点上,每个节点都可以处理图像帧的不同区域,从而实现了急剧的加速。而且,它可以减少由计算螺栓引起的同步开销,该计算螺栓仅将处理结果返回到合并螺栓。

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