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| A Method for Segmentation of Moving Object in Infrared Videos Based on Motion Saliency of Edge |
| Min Chao-bo Zhang Jun-ju Chang Ben-kang Sun Bin Li Ying-jie Liu Lei |
| School of Electronic Engineering and Optic-electronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract A novel method is proposed for segmentation of moving object using motion feature of edge in infrared videos. At first, a new index Motion Saliency of Edge (MSE) is defined. MSE can reflect the motion feature of edge points of an image based on the spatial-temporal characteristic. The higher the MSE of an edge point is, the more likely it belongs to a moving object. The edge point with a high MSE value is extracted by using Otsu’s thresholding. The results obtained by Otsu are updated by using historical data. The edge points which are extracted and updated can be considered to be the seed of moving objects. At last, the segmented masks of moving objects are grown from the seeds by using a region growing method of “layer-by-layer”. The proposed method is successfully tested over three infrared image sequences and compared with the other two methods. The experiment results demonstrate that the proposed method has better performance of moving object segmentation with less effect of object-background misclassification in infrared videos.
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Received: 01 April 2013
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Corresponding Authors:
Zhang Jun-ju
E-mail: zj_w1231@163.com
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2013, Vol. 35 
