ABSTRACT
Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements.Incorporating both establish
TABLE OF CONTENTS
part I|2 pages
Introduction and Background
part II|2 pages
Traditional and Recent Models
part III|2 pages
Applications in Video Surveillance
part IV|2 pages
Sensors, Hardware and Implementations
part V|2 pages
Benchmarking and Evaluation