Enhanced Military Security Via Robot Vision Implementation Using Moving Object Detection and Classification Methods

Robotics have been a staple of advanced manufacturing for over half a century. As robots and their peripheral equipment become more sophisticated, reliable and miniaturized, these systems are increasingly being utilized for military and law enforcement purposes. Mobile robotics play an increasingly important role in military matters, from patrol to dealing with potential explosives, measuring flow of refugees, monitoring peace treaties, providing secure regions around bases and assisting battlefield command and control. In this paper, we present a real time system for human detection, tracking, and verification in such challenging environments. To deliver a robust performance, the system integrates several robot vision algorithms to perform its function: a human detection algorithm, an object tracking algorithm, and a motion analysis algorithm. To utilize the available computing resources to the maximum possible extent, each of the system components is designed to work in a separate thread that communicates with the other threads through shared data structures. KeywordsBackground subtraction methods, visual surveillance, human detection algorithms