Object handoff in multi-cameras based on SIFT and homograph
Yinwei Zhan · Chinese Journal of Stereology and Image Analysis · 2011
To establish the correspondence between moving objects is a key problem in multi-camera surveillance,and field of view(FOV) line is an efficient tool to resolve the consistency in labeling objects.In this paper,we propose an algorithm that realizes object handoff by using scale-invariant features transform(SIFT) and homograph,without knowing the camera calibration information.Firstly,by using SIFT algorithm,matching points are automatically generated between two images sharing a joint region.We chose the matching points which are coplanar in space.These points are then used to compute the homography matrix of the two images.Then,the camera FOV lines are obtained by using the homography matrix and boundary points of the images.Finally,we realize the object handoff using the position of object and homograph.Experimental results show the accuracy and robustness of our method.