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[会议论文]

An approach of region of interest detection based on visual attention and gaze tracking

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作者:

Zhang, Jing (Zhang, Jing.) (学者:张菁) | Zhuo, Li (Zhuo, Li.) | Li, Zhenwei (Li, Zhenwei.) | 展开

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EI Scopus

摘要:

Different from previous work, the study reported in this paper attempts to simulate a more real and complex approach for region of interest (ROI) detection and quantitatively analyze the correlation between human visual system (HVS) and ROI. In this paper, an approach of ROI detection based on visual attention and gaze tracking is proposed. The works include pre-ROI estimation using visual attention model, gaze data collection and ROI detection. Pre-ROIs are segmented by the visual attention model. Since eye feature extraction is critical to the accuracy and performance of gaze tracking, adaptive eye template and neural network is employed to predict gaze points. By computing the density of the gaze points, ROIs are ranked. Experimental results show that the accuracy of our ROI detection method can be raised as high as 97% and our approach can efficiently adapt to users' interests and match the objective ROI. © 2012 IEEE.

关键词:

Eye tracking Image segmentation Behavioral research

作者机构:

  • [ 1 ] [Zhang, Jing]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhuo, Li]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 3 ] [Li, Zhenwei]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 4 ] [Zhao, Yingdi]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China

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年份: 2012

页码: 228-233

语种: 英文

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SCOPUS被引频次: 4

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