Hierarchical spatiotemporal moving object segmentation based on a binary split algorithm

Young Sik Park; Eui Yoon Chung; Gi Seok KimYeong Ho Ha

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Hierarchical spatiotemporal moving object segmentation based on a binary split algorithm

机译：Hierarchical spatiotemporal moving object segmentation based on a binary split algorithm

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摘要

To segment moving objects in head-and-shoulder image sequences, a new morphological image segmentation algorithm is proposed using a hierarchical structure based on a binary split algorithm. The split method is performed using the combination of spatial and temporal similarities to reduce the residual errors between the original and segmented image. Spatial similarity is used to split those regions with the most different intensity values, while temporal similarity, based on the displacement vectors between two images, is used to split those regions with different motions. As a result, the proposed hierarchical segmentation method, based on a binary split algorithm, can increase the subjective image quality with only a small number of regions. Furthermore, a new contour simplification technique composed of three filtering steps is repeatedly applied to the segmented image, thereby eliminating any noisy contours of segmented regions.

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来源
《Optical Engineering》 |2003年第1期|245-254|共10页
作者
Young Sik Park; Eui Yoon Chung; Gi Seok KimYeong Ho Ha;
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作者单位

Kyongju University School of Computer and Electronic Engineering San 42-1 Hyohyun-dong Kyongju, Kyung-buk, 780-712 Korea;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
morphological filter; hierarchical image segmentation; contour simplification; watershed algorithm; optical flow;

Hierarchical spatiotemporal moving object segmentation based on a binary split algorithm

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