高性能FPGA目标检测器:硬件原型

2013 23rd International Conference on Field programmable Logic and Applications Pub Date : 2013-10-24 DOI:10.1109/FPL.2013.6645622

P. Zemčík, Roman Juránek, Petr Musil, M. Musil, Michal Hradiš

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引用次数: 2

摘要

只提供摘要形式。在这个演示中，我们介绍了一种基于WaldBoost训练算法的高性能多尺度视频对象检测引擎的新架构。该架构的关键属性包括处理流数据和低资源消耗。我们在FPGA上实现了该引擎，并证明它可以在不需要外部存储器的情况下以超过160 FPS的速度处理640 × 480像素的视频流。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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High performance FPGA object detector: Hardware prototype

Summary form only given. In this demo, we introduce a novel architecture of an engine for high performance multi-scale detection of objects in videos based on WaldBoost training algorithm. The key properties of the architecture include processing of streamed data and low resource consumption. We implemented the engine in FPGA and we show that it can process 640 × 480 pixel video streams at over 160 FPS without the need of external memory.

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2013 23rd International Conference on Field programmable Logic and Applications

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