GPGPU Implementation for Steering Hands Tracking of a Car Driver by Particle Filter with Depth Image Sensor

N. Ikoma
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引用次数: 2

Abstract

An elaborated parallel implementation of particle filter in GPGPU has been applied to track steering hands of a car driver with depth image sensor for extracting arm and hand regions. Use of depth image sensor can provide more clear extraction of arm and hand regions for left and right than conventional image sensor. Parallel implementation in GPGPU allows fast computation and use of significantly larger number of particles in particle filter algorithm. Experimental results show computational performance of the proposed method.
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基于深度图像传感器粒子滤波的汽车驾驶员转向手跟踪的GPGPU实现
将粒子滤波在GPGPU上的精细并行实现应用于深度图像传感器跟踪汽车驾驶员的转向手,提取手臂和手的区域。使用深度图像传感器可以提供比传统图像传感器更清晰的左右手臂和手部区域提取。GPGPU的并行实现允许快速计算和使用粒子滤波算法中的大量粒子。实验结果表明了该方法的计算性能。
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