Foreground segmentation and tracking from sequential stereo images for 3D object modeling

Title
Foreground segmentation and tracking from sequential stereo images for 3D object modeling
Authors
한인규김형년김경구박지형
Keywords
Bi-layer segmentation; Foreground region tracking; 3D object modeling; Sequential stereo image
Issue Date
2011-05
Publisher
한국HCI학회 논문지 (Journal of HCI Korea)
Citation
VOL 6, NO 1, 9-16
Abstract
The previous researches of 3D object modeling have been performed in a limited environment where a target object only exists. However, in order to model an object in the real environment, we need to consider a dynamic environment, which has various objects and a frequently changing background. Therefore, this paper presents a segmentation and tracking method for a foreground which includes a target object in the dynamic environment. By using depth information than color information, the foreground region can be segmented and tracked more robustly. In addition, the foreground region can be tracked on the sequential images by referring depth distributions of the foreground region because both the position and the status in the consecutive images of the foreground region are almost unchanged. Experimental results show that our proposed method can robustly segment and track the foreground region in various conditions of the real environment. Moreover, as an application of the proposed method, it is presented a method for modeling an object extracting the object regions from the foreground region that is segmented and tracked.
URI
http://pubs.kist.re.kr/handle/201004/40514
ISSN
1976-0671
Appears in Collections:
KIST Publication > Article
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