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GPS/GSM Based Tracking System for the Recovery of High Power Model Rockets

GPS/GSM Based Tracking System for the Recovery of High Power Model Rockets

Date: 2013
Creator: Bih, Michael; Gscheidle, Karl H.; Hardy, Debra; Kollipara, Naveen & Kulle, Gregory
Description: This report discusses research on GPS/GSM based tracking systems for the recovery of high power model rockets. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Contributing Partner: UNT College of Engineering
GPS: Rocket

GPS: Rocket

Date: 2013
Creator: Gscheidle, Karl H.; Hardy, Debra; Kulle, Gregory; Bih, Michael & Acevedo, Miguel F.
Description: This video discusses research on developing a rocket recovery system with sensor networks and wireless communication. The research team project was to develop a GPS/GSM based tracking system for the recovery of high power model rockets. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Contributing Partner: UNT College of Engineering
Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles

Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles

Date: December 2007
Creator: Pati, Nishikanta
Description: Recently, there is a great interest in moving object tracking in the fields of security and surveillance. Object recognition under partial occlusion is the core of any object tracking system. This thesis presents an automatic and real-time color object-recognition system which is not only robust but also occlusion tolerant. The intended use of the system is to recognize and track external vehicles entered inside a secured area like a school campus or any army base. Statistical morphological skeleton is used to represent the visible shape of the vehicle. Simple curve matching and different feature based matching techniques are used to recognize the segmented vehicle. Features of the vehicle are extracted upon entering the secured area. The vehicle is recognized from either a digital video frame or a static digital image when needed. The recognition engine will help the design of a high performance tracking system meant for remote video surveillance.
Contributing Partner: UNT Libraries