Real-time Vision on a Distributed Parallel System

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  • 分散並列計算機による実時間ビジョン
  • ブンサン ヘイレツ ケイサンキ ニ ヨル ジツジカン ビジョン

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Abstract

RPV, which is a programming environment for real-time parallel computer vision on a PC cluster, has been proposed. It provides functions of real-time data transfer, synchronization mechanism and error handling to make it easy to construct real-time parallel computer vision applications. The problem of RPV is that the latency becomes long because of frame-based pipeline structure of the system. To make the latency shorter keeping high throughput, we have introduced stream data transfer mechanism, in which one frame data is divided into small packets and data transfer and data processing are applied to each packet. First in this paper, we discuss RPV and its problem. Secondly, stream data transfer mechanism is described and experimental results using a large-scaled vision application are shown to evaluate the stream data transfer.

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