Hardware Architecture for Linear-time Extraction of Maximally Stable Extremal Regions

March 25, 2020


Improving object detection and tracking from video streams

Technology Overview

Visual surveillance of dynamic scenes is critically important for applications that range from computer vision to robotics to national security. Architecture for linear-time extraction of maximally stable extremal regions (MSERs) has been developed. The system is comprised of image memory, heap memory, a pointer array and processing hardware. The system can determine MSER ellipses based on the range of components and MSER criteria.