Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
复制标题
通过内部区域处理基于区域的运动捕捉中的自遮挡
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
G. Sommer
中科院分区：
文献类型：
--
作者：
Christian Schmaltz;B. Rosenhahn;T. Brox;J. Weickert;Lennart Wietzke;G. Sommer
自遮挡是基于轮廓的运动捕捉中的一个常见问题，这通常会导致姿势配置不明确。在大多数作品中，这是通过关于运动或场景的先验知识或通过使用多个相机来补偿的。在这里，我们建议通过分割对象的表面模型并跟踪每个部分而不是整个对象的轮廓来克服这个问题。分裂可以通过比较不同部分的外观与詹森-香农发散自动完成。然后通过梯度下降同时最大化所有相关部分和背景的外观差异来实现跟踪。我们证明了改进的跟踪结果从模拟和真实的世界场景。
Self-occlusion is a common problem in silhouette based motion capture, which often results in ambiguous pose configurations. In most works this is compensated by a priori knowledge about the motion or the scene, or by the use of multiple cameras. Here we suggest to overcome this problem by splitting the surface model of the object and tracking the silhouette of each part rather than the whole object. The splitting can be done automatically by comparing the appearance of the different parts with the Jensen-Shannon divergence. Tracking is then achieved by maximizing the appearance differences of all involved parts and the background simultaneously via gradient descent. We demonstrate the improvements with tracking results from simulated and real world scenes.