Abstract

A object tracking method is proposed in this paper by utilizing the repetitive information in two cameras with common view field. First, the background will be built using Gaussian background modeling for the images of different cameras with common view field. Second, the foreground objects can be attained and extracted using the background subtraction method. SIFT(Scale-Invariant Feature Transform) feature points will be matched for the objects extracted from the images of the different cameras. Then RANSAC(RANdom SAmple Consensus) algorithm is used to filter the SIFT feature matching, and the same object of two images will be attained. The results demonstrate that this method is better for far field object from different cameras with common view field. It has potential and important applications in object matching and tracking of multicameras.

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