Indiana University

Toyota Jidosha Kabushiki Kaisha

Toyota Motor Engineering & Manufacturing North America, Inc.

Kai Yang

Eliza Yingzi Du

Hiroyuki Takahashi

Rini Sherony

Pingge Jiang

A pedestrian perception alert system configured to issue a warning during real-time when a driver's visual detection of a pedestrian is difficult, and a method thereof is provided. The system includes a video camera, an alert for issuing a warning, a processor, and a Pedestrian Detection Unit ('PDU'). The PDU analyzes the video camera image to detect a pedestrian. A Global Clutter Analysis Unit ('GCAU') generates a global clutter score. A Local Pedestrian Clutter Analysis Unit (&#x201c;LPCAU&#x201d;) generates a local pedestrian clutter score. The processer processes the global clutter score and local pedestrian clutter score so as to generate a pedestrian detection score. The alert is actuated when the pedestrian detection score is outside of a predetermined threshold so as to notify the driver that perception of a pedestrian is difficult at that time.

System and method of alerting a driver that visual perception of pedestrian may be difficult

A method of generating a biometric feature descriptor has been developed that includes acquiring an image of an anatomical feature having a biometric feature, isolating a region of the image having the biometric feature, extracting image data from the image of the region to identify a plurality of features for the biometric feature, transforming the extracted image data for each identified feature into a plurality of feature descriptors, mapping the feature descriptors for the plurality of features into a first arrangement of feature descriptors, generating a second arrangement of feature descriptors with a non-invertible transform of the first arrangement of feature descriptors, and storing the second arrangement of feature descriptors into an electronic database.

System and method for cancelable iris recognition

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Indianapolis, IN, United States of America

Kai Yang