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A fast method with searching window constraint for moving object detection on a moving platform
Conference paper

A fast method with searching window constraint for moving object detection on a moving platform

Y.F. Fan, H.Y. Tsai, M.H. Perng and Y.W. Huang
Proceedings of the 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010, pp.353-360
2010

Abstract

Color segmentation Depth of field and twin-lens camera Disparity map Moving object detection Searching window constraint
The study we propose is about moving object detection on a moving platform adopting the merits of the triangular geometry, the color segmentation, the disparity map, and the compensation of the background using the two dimensional plane transformation. Therefore, an image processing in real circumstance is realized in a short computational time. Because the algorithm is not complex, the moving objects can be detected soon with high accuracy. In addition, it is robust to reconstruct the complex view with various depths of fields.

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