Indiana University

Toyota Jidosha Kabushiki Kaisha

Toyota Motor Engineering & Manufacturing North America, Inc.

Eliza Yingzi Du

Kai Yang

Hiroyuki Takahashi

Rini Sherony

Emrah Arslanturk

Craig Belcher

Pingge Jiang

Zhi Zhou

Darrell WuDunn

N Luke Thomas

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

A method for obtaining an identification characteristic for a subject includes acquiring an image of an eye of the subject, segmenting the eye image into different regions, extracting features in a sclera region segmented from the eye image, and generating data identifying at least one feature extracted from the sclera region of the eye image.

System and method for identifying a person with reference to a sclera image

A method segments iris images from eye image data captured from non-cooperative subjects. The method includes receiving a frame of eye image data, and determining whether a pupil exists in the image by detecting glare areas in the image. Upon finding a pupil, subsequent images are processed with reference to the pupil location and a radius is calculated for the pupil. A k means clustering method and principal component analysis are used to locate pupil boundary points, which are fitted to a conic. Using the pupil boundary, an angular derivative is computed for each frame having a pupil and iris boundary points are fitted to a conic to identify an iris region between the iris boundary and the pupil boundary. Noise data are then removed from the iris region to generate an iris segment. A method for evaluating iris frame quality and iris image segmentation quality is also disclosed.

System and method for non-cooperative iris image acquisition

A method processes segmented iris images obtained by a non-cooperative image acquisition system to generate descriptors for features in the segmented iris image that are tolerant of segmentation error. The method includes receiving a segmented iris image, and selecting feature points in the segmented iris image to describe an iris locally.

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Indianapolis, IN, United States of America

Eliza Yingzi Du