Mosaic representations of video sequences based on slice image analysis

Authors:
Shaolei Feng;Hanqing Lu;Songde Ma
Affiliations:
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, No. 1 Nan Yi Tiao, Zhong Guan Cun, Beijing, China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, No. 1 Nan Yi Tiao, Zhong Guan Cun, Beijing, China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, No. 1 Nan Yi Tiao, Zhong Guan Cun, Beijing, China
Venue:
Pattern Recognition Letters
Year:
2002

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Abstract

There has been a lot of activity recently surrounding the mosaic representation of video sequences. However, existing mosaic methods have in general a strong limitation. They are prone to converge to a local minimum in least-squares estimation, especially when large image motion exists between two consecutive frames or there are too many outliers, for example, when large moving objects appear in the sequence.In this paper, a novel method is proposed to obtain the initial values of the model parameters. The proposed method is based on slice image analysis, and can effectively avoid the local minimum problem and remove the accumulated distortions from the final mosaic which are common in the previous methods. And furthermore, our method is robust even if large moving objects are present in the sequence.