Conduct inference apparatus

Image analysis – Applications – Target tracking or detecting

Reexamination Certificate

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C382S107000

Reexamination Certificate

active

08045758

ABSTRACT:
In a conduct inference process, feature points are extracted from a capture image. The extracted feature points are collated with conduct inference models to select conduct inference models in each of which an accordance ratio between a target vector and a movement vector is within a tolerance. Among the selected conduct inference models, one conduct inference model in which a distance from a relative feature point to a return point is shortest is selected. Then, a specific conduct designated in the selected conduct inference model is tentatively determined as a specific conduct the driver intends to perform. Furthermore, based on the tentatively determined specific conduct, it is determined whether the specific conduct is probable. When it is determined that the specific conduct is probable, an alarm process is executed to output an alarm to the driver.

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Verified English translation and Notice of Reason for Rejection issued from the Japanese Patent Office dated Aug. 14, 2009 in corresponding Japanese patent application No. 2007-203111 (English outline of the Notice was submitted with the Information Disclosure Statement on Sep. 24, 2009).
Viola, Paul and Jones, Michael,Robust Real-time Object Detection,Second International Workshop on Statistical and Computational Theories of Vision—Modeling, Learning, Computing, and Sampling, Vancouver, Canada (Jul. 13, 2001).
Notice of Reason for Rejection issued from the Japanese Patent Office mailed on Aug. 4, 2009 in the corresponding Japanese patent application No. 2007-203111 (and English translation).
Cristinacce, David, Cootes, Tim and Scott, Ian,A Multi-Stage Approach to Facial Feature Detection,Dept. Imaging Science and Biomedical Engineering, University of Manchester, BMVC 2004, U.K, Kingston, Sep. 7-9, 2004.

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