NDLI: A visual attention model for dynamic scenes based on motion features

Content Provider	IEEE Xplore Digital Library
Author	Zhou Changle Chen Jiawei Yao Jinliang
Copyright Year	2012
Description	Author affiliation: Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou, China (Zhou Changle; Yao Jinliang) \|\| State Intellectual Property Office of the People's Republic of China, Beijing 100088, China (Chen Jiawei)
Abstract	This paper presents a visual attention model for dynamic scenes based on motion features. The aim is to obtain the region of interest in accordance with the observer's attention in a multiple moving objects situation. Motion speed and motion orientation are selected as the motion features, which make the processing in the model similar to natural observation. A block matching algorithm and a “center-surround” operation are used to extract features. A motion saliency map is created by the integration of a motion speed conspicuity map and a motion orientation conspicuity map. The experiment shows that the model performs an object-based selection which is effective in complex scenes with efficient background noise suppression.
Starting Page	1396
Ending Page	1401
File Size	184009
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485393
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Computational modeling Vectors Dynamics Feature extraction Motion measurement Biological system modeling Motion detection Visual attention Motion saliency map Motion features Multiple moving objects
Content Type	Text
Resource Type	Article

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