Ghost error elimination and superimposition of moving objects in video mosaicing

This paper presents a new approach for region-based video mosaicing, treating moving objects separately from the background, and with improved ghost-like noise elimination. The mosaic images show the moving objects superimposed over a stationary background. Conventional technologies can reduce the ghost-like noise that occurs from moving objects by using temporal median filtering, but its efficiency depends on the ratio between the speeds of the camera and the moving object. Our technology eliminates these noises more efficiently by using segmented images of a spatio-temporal video sequence. Segmentation is performed using a novel technique that uses different configurations of quad-trees for the initial separation in the split-and-merge process. The segmented images are also used to display tracked moving objects on the panoramic image.