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Dec, 2017
光流和动作识别的集成
On the Integration of Optical Flow and Action Recognition
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Laura Sevilla-Lara, Yiyi Liao, Fatma Guney, Varun Jampani, Andreas Geiger...
TL;DR
本研究针对UCF101数据集,以光流算法数据作为神经网络的输入,研究了不同光流算法和输入变换条件对人体动作识别的影响,通过精细调整光流算法,对比分析得出一些重要结论,特别是对EPE作为一个目标的颠覆,证明了更好的训练方法提高了人体动作识别的性能。
Abstract
Most of the top performing
action recognition
methods use
optical flow
as a "black box" input. Here we take a deeper look at the combination of flow and
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