Video Stitch Algorithm Based on Dynamic Foreground Extraction
Yuan Zhang, Kebin Jia, Pengyu Liu · 2009
A new video stitch algorithm based on dynamic foreground extraction is proposed in this paper. The algorithm is found on static image mosaic. To solve the problem caused by the moving objects in the videos, the background images are extracted. Using the featured-based method to get the transformation matrix between the background images, a wide background video is stitched up. This method greatly improves the efficiency of the algorithm. Besides, the moving foreground objects are extracted and the comparability between objects in the overlap area of different videos is computed to decide whether they are the same object and which to be reserved in the wide background video. As a result, the ghost is removed. Experimental results show that it is a highly-matched and robust video stitch algorithm, and can basically achieve real-time stitch.