1 January 2003 Hierarchical spatiotemporal moving object segmentation based on binary split algorithm
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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.
© (2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Young Sik Park, Young Sik Park, Eui-Yoon Chung, Eui-Yoon Chung, Gi Seok Kim, Gi Seok Kim, Yeong-Ho Ha, Yeong-Ho Ha, } "Hierarchical spatiotemporal moving object segmentation based on binary split algorithm," Optical Engineering 42(1), (1 January 2003). https://doi.org/10.1117/1.1523040 . Submission:
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