Electrical and Computer Engineering Commons^™

Modeling Of A Gyro-Stabilized Helicopter Camera System Using Neural Networks, Nicholas Joseph Layshot

Master's Theses

On-board gimbal systems for camera stabilization in helicopters are typically based on linear models. Such models, however, are inaccurate due to system nonlinearities and complexities. As an alternative approach, artificial neural networks can provide a more accurate model of the gimbal system based on their non-linear mapping and generalization capabilities.

This thesis investigates the applications of artificial neural networks to model the inertial characteristics (on the azimuth axis) of the inner gimbal in a gyro-stabilized multi-gimbal system. The neural network is trained with time-domain data obtained from gyro rate sensors of an actual camera system. The network performance is evaluated …

Detecting And Tracking Tractor-Trailers Using View-Based Templates, Vinay Gidla

All Theses

Vehicle tracking and classification is an important application of computer vision. There exist mainly two types of tracking techniques: Appearance-based tracking and Feature-based tracking.
Appearance-based techniques generally require a model or template of the target to be tracked. However the model needs to be robust to the multitude of deformations possible in the course of the target's movement. This research explores the use of a collection of view based templates, instead of a single template, to accurately trace the contours of the tractor-trailers in moving traffic.

The tracking begins with creation of a template sequence by manually processing a segment …