In-Attention State Monitoring Based on Integrated Analysis of Driver's Headpose and External Environment
暂无分享,去创建一个
[1] Mohan M. Trivedi,et al. On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes , 2009, IEEE Transactions on Intelligent Transportation Systems.
[2] Minho Lee,et al. Role of Gestalt Principles in Selecting Attention Areas for Object Recognition , 2013, ICONIP.
[3] Minho Lee,et al. In-attention State Monitoring for a Driver Based on Head Pose and Eye Blinking Detection Using One Class Support Vector Machine , 2014, ICONIP.
[4] Keith Nesbitt,et al. The Gestalt Principle of Continuation Applies to both the Haptic and Visual Grouping of Elements , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).
[5] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[7] Minho Lee,et al. A Study on Region of Interest of a Selective Attention Based on Gestalt Principles , 2013, ICONIP.
[8] Kunihiko Fukushima,et al. Use of non-uniform spatial blur for image comparison: symmetry axis extraction , 2005, Neural Networks.
[9] Larry S. Davis,et al. Model-based object pose in 25 lines of code , 1992, International Journal of Computer Vision.
[10] Keith Nesbitt,et al. The Gestalt Principles of Similarity and Proximity Apply to Both the Haptic and Visual Grouping of Elements , 2007, AUIC.