点击次数：

论文类型：期刊论文

发表时间：2017-07-01

发表刊物：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

收录刊物：SCIE、EI、Scopus

卷号：27

期号：7

页面范围：1491-1501

ISSN号：1051-8215

关键字：Global combination; interactive video segmentation; local matching; multiple template

摘要：In numerous video segmentation algorithms, shape and color priors from previous frames are propagated to successive frames for processing. One prime issue of the existing algorithms is how priors are modeled and propagated effectively. This paper proposes a novel algorithm for accurate and robust foreground prediction via a local appearance model based on shape and color. In the shape estimation process, instead of performing global matching, a local search mechanism is developed to capture complex motions. In addition, global information is used to facilitate local matching for the final shape estimation. Color cues from multiple frames are used to estimate the foreground (background) pixel distribution in the current image. Furthermore, the contribution of each frame is weighted based on its reliability and discriminative strength. Based on the proposed local appearance model, a graph cut algorithm is used to generate segmentation results. The experimental results show that accurate video segmentation can be obtained by the proposed algorithm with fewer user interactions.