Bruce E. Flinchbaugh

Multispectral constraints for optical flow computation

Multispectral constraints are exploited for optical flow computation. The theoretical basis and conditions for using multispectral images are described. An optical flow algorithm using multispectral constraints is outlined. Tests of the algorithm on real image sequences show that various multispectral constraints from the visible and infrared spectrum can be used to compute optical flow fields in the presence of noise.<<ETX>>

Monitoring and diagnosis of plasma etch processes

Plasma etching removes material from a silicon wafer by applying power and gases in a chamber. As material is removed from a wafer, the amount of particular chemicals given off can be measured; this technique is called emission spectroscopy and the measurements are called endpoint traces. An expert system that automatically interprets the traces has been designed and built. The system combines signal-to-symbol transformations for data abstraction and rule-based reasoning for diagnosis. The system detects problems as soon as they occur and also determines their causes. >

Video Stabilization with Optimized Motion Estimation Resolution

We propose a video stabilization algorithm that removes camera jitter in complex scenes with moving objects. Our algorithm is based on analyzing the content of the video according to the accumulated motion between the scene and the camera, which provides a simple and robust way of estimating jitter in the presence of camera panning and moving objects. We also describe a method of reducing the computational complexity of our algorithm by using a hierarchical clustering technique that optimizes the motion estimation resolution at different scene locations.

Autonomous video surveillance

This presentation highlights needs for autonomous video surveillance in the context of physical security for office buildings and surrounding areas. Physical security is described from an operational perspective, defining the principal responsibilities and concerns of a physical security system. Capabilities and limitations of current video surveillance technology are described, followed by examples of how computer vision techniques are being used and advanced for autonomous video surveillance systems.

Recognition via alignment using aspect models

Abstract not available.