Real Time Tracking Method by Using Color Markers
Virtual Reality and Visualization（2013）
摘要
To meet the user demands and to enhance integrating of markers into the environment that is close to nature as much as possible, this paper proposes a color marker-based method for tracking the target object in real time and registering a virtual three-dimensional (3D) object. Firstly, the contours of the color marker patterns on the video images are extracted by using adaptive threshold. Each marker pattern on the image is corrected and recognized by the template pattern. Secondly, the specified color markers are identified by using the L1L2L3 and rgb models. Finally, the virtual objects are registered in real-time on the marker image by using the camera parameters derived from data of the color markers. The experimental results show that the virtual objects can be accurately registered on the markers of the video images. Compared to the Ar Toolkit software, this method is able to work in the environment with various illumination conditions.
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关键词
marker pattern,video signal processing,homography,matching,color marker pattern contour extraction,adaptive threshold,marker image,image matching,template pattern,color marker pattern,lighting,virtual object,color markers,specified color marker,video images,image segmentation,virtual three-dimensional object registration,video image,color marker,image recognition,registration,tracking,feature extraction,rgb model,object tracking,real time tracking method,l1l2l3 model,cameras,real-time tracking method,image correction,augmented reality,illumination conditions,image registration,color marker-based method,camera parameters,target object,image colour analysis
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