Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models
Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models
复制标题
使用主动外观模型进行 X 射线视频中动物运动分析的解剖标志跟踪
DOI：
10.1007/978-3-642-21227-7_56
复制
发表时间：
2011
影响因子：
2.8
通讯作者：
Joachim Denzler
中科院分区：
文献类型：
--
作者：
D. Haase;Joachim Denzler
X射线摄像是生物学、运动学和机器人学中进行动物运动分析的重要技术之一。不幸的是，评估大量获取的数据是一项乏味和耗时的任务。直到今天，对于每个图像序列，都必须在数百个图像中手动定位感兴趣的解剖地标。因此，这项任务的自动化是非常可取的。自动跟踪这些地标的主要困难是由于动物的运动和X射线图像的低对比度导致的大量遮挡。出于这个原因，标准跟踪方法在这种设置中失败。为了克服这一限制，我们分析了活动外观模型在此任务中的应用。基于实际数据，我们表明这些模型能够有效地处理发生的遮挡和低对比度，并能提供声音跟踪结果。
X-ray videography is one of the most important techniques for the locomotion analysis of animals in biology, motion science and robotics. Unfortunately, the evaluation of vast amounts of acquired data is a tedious and time-consuming task. Until today, the anatomical landmarks of interest have to be located manually in hundreds of images for each image sequence. Therefore, an automatization of this task is highly desirable. The main difficulties for the automated tracking of these landmarks are the numerous occlusions due to the movement of the animal and the low contrast in the x-ray images. For this reason, standard tracking approaches fail in this setting. To overcome this limitation, we analyze the application of Active Appearance Models for this task. Based on real data, we show that these models are capable of effectively dealing with occurring occlusions and low contrast and can provide sound tracking results.
DOI：
10.1115/1.2206199
发表时间：
2006-08-01
影响因子：
1.7
作者：
Bey, Michael J.;Zauel, Roger;Tashman, Scott
通讯作者：
Tashman, Scott