Human action tracking guided by key-frames

Masanobu Yamamoto, Y. Ohta, T. Yamagiwa, Katsutoshi Yagishita, H. Yamanaka, Naoto Ohkubo
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引用次数: 16

Abstract

The model-based approaches for tracking of human bodies in image sequences can be categorised into two types; fitting model to body frame by frame, and accumulating estimated pose displacements in successive frames after model fitting at the initial frame. The latter has an inherent drawback as accumulation of tracking errors while the one has a great advantage as small computational efforts compared with the former. This paper proposes a new method which can correct the tracking errors by propagation from fitting model to body at a few key-frames. The propagation makes it possible to establish tracking of bodies under occlusion. Capturing the actor's motions in real old movies is presented.
关键帧引导下的人体动作跟踪
基于模型的人体图像序列跟踪方法可分为两类;一帧一帧地将模型拟合到身体上,在初始帧进行模型拟合后,在连续帧中累积估计的位姿位移。后者的缺点是跟踪误差的累积,而前者的优点是计算量小。本文提出了一种新的方法,通过在几个关键帧内从拟合模型传播到主体来修正跟踪误差。这种传播使得对遮挡下的物体进行跟踪成为可能。在真实的老电影中捕捉演员的动作。
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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