Automatic segmentation of video object plane based on object tracking and matching

Li Shi; Zhaoyang Zhang; Hui Wang

doi:10.1117/12.441468

21 September 2001 Automatic segmentation of video object plane based on object tracking and matching

Li Shi, Zhaoyang Zhang, Hui Wang

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441468
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

This paper presents a new approach to the extraction of video object and segmentation of video object plane from video sequence. The method is based on morphological motion filter using connected operator and our proposed new filtering criterion. The morphological motion filter aims to detect motion which is distinct from that of the background, and thereby locates independently moving physical objects in the scenes. Then an object tracker is used which matches a two-dimension binary model of the object against subsequent frames using the Hausdorff distance. The best match found indicates the translation the object has undergone . Then the object matcher using active contour model is presented to match the object in the new location. From a series of binary contour we can extract the moving object. Experiments show that our algorithm can extract object from moving backgrounds efficiently.

Citation Download Citation

Li Shi, Zhaoyang Zhang, and Hui Wang "Automatic segmentation of video object plane based on object tracking and matching", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441468

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