Siemens Medical Solutions Usa, Inc.

University of Southern California

Yuping Lin

Gerardo Hermosillo Valadez

Yoshihisa Shinagawa

Gerard Medioni

Bing Jian

Cheng-Hua Pai

Described herein is a technology for facilitating classification of an object. In one implementation, at least one quotient appearance manifold mapping is constructed from a sample image to untangle appearance fiber bundles. A feature characteristic of the sample image may then be extracted based on the quotient appearance manifold mapping. A classifier may further be trained based on the extracted feature, and adapted for associating the object with an object class.

Quotient appearance manifold mapping for image classification

Systems and methods for moving object detection using a mobile infrared camera are described. The methods include receiving multiple frames, each frame including an image of at least a portion of a planar surface, stabilizing two consecutive frames of the plurality of frames, the stabilizing comprising determining a transformation mapping a succeeding frame of the two consecutive frames to a preceding frame of the two consecutive frames and based on the transformation, warping the two consecutive frames to a reference frame of the plurality of frames, and detecting a movement of an object in the two consecutive frames, the movement based on a change in positions of the object in the preceding frame and the successive frame.

Moving object detection using a mobile infrared camera

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Los Angeles, CA, United States of America

Yuping Lin