标题: 静态摄影机所拍摄影片内容之相对深度估计
Relative depth estimation for videos from static cameras
作者: 何开阳
Ho, Kai-Yang
王圣智
Wang, Sheng-Jyh
电子研究所
关键字: 深度估计;depth estimation
公开日期: 2011
摘要: 在本篇论文里,我们提出一套应用于固定式摄影机拍出影片的深度估计系统。藉由对现有的单张影像深度估计方法的扩展,我们希望能从影片中取出有用的时间资讯,将其加入单张影像深度估计演算法来产生更准确的背景深度的估计,接着给予移动物体适当的深度来产生整段影片深度的输出。在固定式摄影机拍摄的影片之中,我们可以观测到移动物体和场景中障碍物的遮蔽现象,然而在短时间之内资讯并不足够,我们需要利用长时间累计的结果来做出正确的遮蔽边界判断。因此,我们利用统计的方式将移动物体的底部高度记录于其所经过的地方,利用一段时间统计出来的结果来判断静止前景物体的位置及其深度范围,我们将这些资讯加入单张影像遮蔽边界演算法来产生边界判断及对应的相对深度输出。对于移动的物体,我们用背景相减法将它们找出来并做基本的形态学处理,根据追踪及遮蔽的判断我们使用不同的方式给予它们深度并得到影片的深度输出。
In this thesis, we propose a method to estimate the depth of a video taken from a static camera. By extending the single image depth estimation algorithm, we explore the temporal knowledge in the video. Combining both single image knowledge and temporal knowledge, we get better depth estimation of the background image. After that, we estimate the proper depth of the moving objects and get the video depth output. In a video, some boundaries can be detected when moving objects are occluded by the static occluding objects. However, short term temporal knowledge is not enough and we need long term temporal knowledge to find them. In our approach, we get the statistics by recording the object bottom height in the pixels the the object has passed. Using this statistical information, we find static occluding objects and their maximum depth. We add these cues into the boundary detection algorithm to get the boundary result and the relative depth. For those moving objects, we use the background subtraction method to identify them and perform morphological operations for post processing. Depending on the states of moving objects, we use different ways to estimate their depth. Finally, we get the depth of the video contents.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT079811598
http://hdl.handle.net/11536/46764
显示于类别:Thesis


文件中的档案:

  1. 159801.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.