Lenovo (singapore) Pte. Ltd.

Motorola Mobility LLC

Jun Ki Min

John Weldon Nicholson

David Alexander Schwarz

Kevin J McDunn

Seang Yong Chau

Mir Farooq Ali

Xiaodong Xun

Kevin Foy

Maziyar Khorasani

Lauren Elizabeth Schwendimann

Krishna C Garikipati

Joseph Swantek

An approach is provided that captures a set of sequential images of an area where there is a selected moving object. Both a keypoint-based (KP-based) matching model and a neural network based (NN-based) matching model are used with the KP-based matching model analyzing most or all of the captured images and the NN-based model being more computational intensive and analyzing a subset of the images. When the KP-based matching model fails to identify the selected object in an image, the NN-based model is used to find the object so that the KP-based matching model can re-establish tracking of the object.

Recover keypoint-based target tracking from occlusion using deep neural network segmentation

A method and apparatus filter light spectrum. Ambient light conditions of light that is ambient to a user device can be sensed. Ambient light color conditions can be determined based on the sensed ambient light conditions. User device charging times when the user device is being charged can be monitored. User device motion including movement of the user device can be monitored. User device activity can be monitored. Color-modified image display times can be ascertained from at least one selected from the user device motion, the user device activity, and the user device charging times. A color-modified image can be generated based on at least the ambient light color conditions and the color-modified image display times. The color-modified image can be displayed.

Method and apparatus for light spectrum filtering

Growing community of inventors

Chicago, IL, United States of America

Jun Ki Min