13 March 2013 An image interpolation-based approach to the detection of small moving target
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Abstract
The problems of detection, identification and tracking of moving target under the condition of moving camera are quite difficult in the application of computer vision. This paper proposes two different methods to the detection of moving target in the light of the size of the object. One approach integrates the image-interpolation technique and the active contour model, the other unites the image-interpolation technique, the modified local entropy algorithm and the region growing skill. The introduction of the image-interpolation technique is to estimate the global motion, i.e. background motion. The active contour model or the modified local entropy algorithm and region growing skill act upon the difference image, and then detect the moving target. It is demonstrated the reasonableness and efficiency of two detection approaches through experiments.
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He Deng, He Deng, Lifang Cheng, Lifang Cheng, } "An image interpolation-based approach to the detection of small moving target", Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831T (13 March 2013); doi: 10.1117/12.2021227; https://doi.org/10.1117/12.2021227
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