A Moving Camera Localization using Perspective Transform and Klt Tracking in Sequence Images


KIPS Transactions on Software and Data Engineering, Vol. 14, No. 3, pp. 163-170, Mar. 2007
10.3745/KIPSTB.2007.14.3.163, Full Text:

Abstract

In autonomous navigation of a mobile vehicle or a mobile robot, localization calculated from recognizing its environment is most important factor. Generally, we can determine position and pose of a camera equipped mobile vehicle or mobile robot using INS and GPS but, in this case, we must use enough known ground landmark for accurate localization. In contrast with homography method to calculate position and pose of a camera by only using the relation of two dimensional feature point between two frames, in this paper, we propose a method to calculate the position and the pose of a camera using relation between the location to predict through perspective transform of 3D feature points obtained by overlaying 3D model with a previous frame using GPS and INS input and the location of corresponding feature point calculated using KLT tracking method in current frame. For the purpose of the performance evaluation, we use wireless-controlled vehicle mounted CCD camera, GPS and INS, and performed the test to calculate the location and the rotation angle of the camera with the video sequence stream obtained at 15Hz frame rate.


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Cite this article
[IEEE Style]
H. J. Jang, J. H. Cha and G. Y. Kim, "A Moving Camera Localization using Perspective Transform and Klt Tracking in Sequence Images," KIPS Journal B (2001 ~ 2012) , vol. 14, no. 3, pp. 163-170, 2007. DOI: 10.3745/KIPSTB.2007.14.3.163.

[ACM Style]
Hyo Jong Jang, Jeong Hee Cha, and Gye Young Kim. 2007. A Moving Camera Localization using Perspective Transform and Klt Tracking in Sequence Images. KIPS Journal B (2001 ~ 2012) , 14, 3, (2007), 163-170. DOI: 10.3745/KIPSTB.2007.14.3.163.