https://scholars.lib.ntu.edu.tw/handle/123456789/502334
標題: | Video Segmentation with Model-Based Sprite Generation for Panning Surveillance Cameras. | 作者: | Cherng, Der-Chun SHAO-YI CHIEN |
公開日期: | 2007 | 起(迄)頁: | 2902-2905 | 來源出版物: | International Symposium on Circuits and Systems (ISCAS 2007), 27-20 May 2007, New Orleans, Louisiana, USA | 摘要: | Video segmentation is one of the most important techniques for advanced video surveillance systems. Most of the existing video segmentation algorithms suffer from high computational complexity to achieve acceptable results for surveillance systems and cannot deal with moving camera situations. In this paper, we propose a low complexity video segmentation algorithm with model-based sprite generation for panning cameras. The characteristics of surveillance systems are utilized to reduce the complexity of sprite generation, which is employed to register background information for panning cameras. In addition, several novel techniques are also proposed to improve the quality of segmentation results. Experimental results show that the proposed algorithm can effectively segment moving objects with good subjective quality. © 2007 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/502334 https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548830714&doi=10.1109%2fiscas.2007.377856&partnerID=40&md5=97fa2787c7711828db50092f854ec123 |
ISSN: | 02714310 | DOI: | 10.1109/ISCAS.2007.377856 | SDG/關鍵字: | Algorithms; Computational complexity; Image quality; Image segmentation; Mathematical models; Background information; Surveillance cameras; Surveillance systems; Video segmentation; Video cameras |
顯示於: | 電機工程學系 |
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