User-assisted segmentation algorithm using B-spline curves

Daehee Kim; Yo-Sung Ho

doi:10.1117/12.411853

29 December 2000 User-assisted segmentation algorithm using B-spline curves

Daehee Kim, Yo-Sung Ho

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411853
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Most automatic segmentation techniques have difficulties in extracting individual video objects in a single frame. They are somewhat premature to obtain desirable segmentation results from various kinds of image sequences. However, if the user can provide semantic information of video objects for the first frame in a user-assisted manner, improved segmentation results can be obtained in the following picture frames. The user-assisted or semi-automatic approach for video segmentation is more practical in generating VOPs of moving objects. In this paper, we propose a new semi-automatic video segmentation scheme using an active contour algorithm. In most active contour algorithms, samples of the contour convey insufficient information about the curve shape between samples due to finite difference approximation. In addition, since most active contour algorithms have been developed for images of homogeneous simple background, they are not applicable to moving objects in the complex background. Therefore, this paper addresses the B-spline representation of curves and the morphological feature extraction for video object segmentation.

Citation Download Citation

Daehee Kim and Yo-Sung Ho "User-assisted segmentation algorithm using B-spline curves", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411853

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KEYWORDS

Image segmentation

Video

Image processing algorithms and systems

Motion estimation

Detection and tracking algorithms

Semantic video

Image processing

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