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Optical Engineering

Hierarchical spatiotemporal moving object segmentation based on binary split algorithm
Author(s): Young Sik Park; Eui-Yoon Chung; Gi Seok Kim; Yeong-Ho Ha
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Paper Abstract

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.

Paper Details

Date Published: 1 January 2003
PDF: 10 pages
Opt. Eng. 42(1) doi: 10.1117/1.1523040
Published in: Optical Engineering Volume 42, Issue 1
Show Author Affiliations
Young Sik Park, Kyongju Univ. (South Korea)
Eui-Yoon Chung, nBIz Technology Co. Ltd (South Korea)
Gi Seok Kim, Kyongju Univ. (South Korea)
Yeong-Ho Ha, Kyungpook National Univ. (South Korea)

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