基于冗余小波变换的立体视频对象分割

2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI:10.1109/ICINIS.2008.148

T. Gao, Zhengguang Liu

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引用次数: 1

摘要

提出了一种基于冗余小波变换的立体视频目标分割算法。首先利用冗余小波变换提取立体视频图像的特征点，然后根据特征点进行视差估计，形成视差图。利用视差映射从立体图像中分割出静止的视频目标。对于运动视频目标，采用基于冗余小波变换的运动目标提取算法，从冗余小波域中分割运动目标。实验结果表明，该算法可以从立体视频图像中分割视频目标，包括静止目标和运动目标，具有良好的精度和鲁棒性。

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Stereo Video Objects Segmentation Based on Redundant Wavelet Transforms

A redundant wavelet transforms based stereo video objects segmentation algorithm is presented. First, the redundant wavelet transforms is used to extract the feature points of stereo video images, and then according to the feature points, the disparity estimation is done to form a disparity map. The stationary video objects are segmented from the stereo images by disparity map. For the moving video objects,a redundant wavelet transforms based moving object extraction algorithm is used to segment the moving objects from the redundant wavelet domain.Experimental results show that the algorithm can segment video objects from stereo video images,including stationary objects and moving objects with good accuracy and robustness.

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来源期刊

2008 First International Conference on Intelligent Networks and Intelligent Systems

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