Low-Cost Real-Time Gesture Recognition
Low-Cost Real-Time Gesture Recognition
复制标题
低成本实时手势识别
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
D. Heckenberg
中科院分区：
文献类型：
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作者：
B. Lovell;D. Heckenberg
开发实时计算机视觉系统的主要障碍是实时处理视频流所需的计算能力和技能水平。这意味着许多研究人员要么离线分析视频流，要么使用昂贵的专用硬件加速技术。最近的软件和硬件的发展已经大大减轻了实时图像分析的开发负担，导致使用廉价的PC硬件和利用Intel Pentium芯片的多媒体扩展（MMX）指令集的软件的便携式系统的发展。本文介绍了一个计算效率高的计算机视觉系统识别手势，使用高效的编码和MMX加速，以实现低成本硬件的实时性能的实现。
A major impediment to developing real-time computer vision systems has been the computational power and level of skill required to process video streams in real-time. This has meant that many researchers have either analysed video streams off-line or used expensive dedicated hardware acceleration techniques. Recent software and hardware developments have greatly eased the development burden of realtime image analysis leading to the development of portable systems using cheap PC hardware and software exploiting the Multimedia Extension (MMX) instruction set of the Intel Pentium chip. This paper describes the implementation of a computationally efficient computer vision system for recognizing hand gestures using efficient coding and MMX-acceleration to achieve real-time performance on low cost hardware.