Massachusetts Institute of Technology

Aaron Z Yahr

Jason R Thornton

Michael T Chan

Heather Zwahlen

Christine M Russ

Ronald Duarte

Marianne A Deangelus

Zach Elko

Described herein are systems and methods for locating an object detected in a video. The system detects a bounding box at least partially around an object in a first frame at a first time in the video and a second frame in the video corresponding to a second time. The system determines whether there is no motion within the bounding box of the second frame. The system compares edge information, or color information, or intensity information associated with one or more pixels in the first frame, to edge information, or color information, or intensity information associated with one or more pixels within the bounding box. The system generates a score based on the comparison. The system further determines based on the score if the object is present in the second frame. The system also determines an estimated timeframe window of a first appearance of the object.

Forensic video exploitation and analysis tools

A computer-implemented image processing method includes accessing image data representing a plurality of images of a plurality of vehicles and reading a data model representing a predefined vehicle attribute. The method further includes processing a portion of the image data to detect a vehicle feature of at least one of the vehicles represented in at least one of the images based on the predefined vehicle attribute, and processing the portion of the image data to generate vehicle data representing the detected vehicle feature.

Assisted surveillance of vehicles-of-interest

Growing community of inventors

Somerville, MA, United States of America

Aaron Z Yahr