Bossa Nova Robotics Ip, Inc.

Carnegie Mellon University

Shreyas Venugopalan

Marios Savvides

Karanhaar Singh

Kyle Neblett

An Pang Lin

Gavriel Adler

Ajmal Thanikkal

Christopher Palmer

Unni Prasad

Douglas Toomey

Kahlid Harun

A video monitoring method that involves determining motion changes in a set of video frames to find potential objects is described. One or more bounding boxes are defined around the potential objects. These bounding boxes are spatially and temporally filtered to eliminate potential object candidates, with only potential objects in the bounding boxes remaining after filtering being classified or identified.

Robust motion filtering for real-time video surveillance

A method for processing arrival or removal of packages within the field of view of a video camera includes providing a database for recording packages placed in the field of view. Based on real-time analysis of successive image frames in the camera, a human person's entry and exit from the field of view of the camera is also detected. Delivery or removal of objects is recorded in the database. In one embodiment, the method also determines whether or not a newly arrived package is placed alongside or on top of an existing package.

Method for new package detection

Described is a system which is capable of capturing images of the iris up to distances of 11 meters with a resolution of 150-200 pixels across the diameter. The system incorporates velocity estimation and focus tracking modules such that that images may be acquired from moving subjects.

System and method for the long range acquisition of iris images from stationary and mobile subjects

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Pittsburgh, PA, United States of America

Shreyas Venugopalan