Abstract
Video surveillance analysis is an exciting, active research area and an important industry application. It is a multidisciplinary field that draws on signal processing, embedded systems, and artificial intelligence topics, and is well suited to motivate student engagement in all of these areas. This paper describes the benefits of the convergence of these topics, presents a versatile video surveillance analysis process that can be used as the basis for many investigations, and presents two template exercises in tracking detected targets and in evaluating runtime efficiency. The processing chain consists of detecting changes in a scene and locating and characterizing the resulting targets. The analysis is illustrated for targets in outdoor scenes using a variety of classification features. Also, sample code for processing is included.
Recommended Citation
S. E. Watkins, "Video Surveillance Analysis as a Context for Embedded Systems and Artificial Intelligence Education," Proceedings of the 2012 Midwest Section Conference of the American Society for Engineering Education (2012, Rolla, MO), American Society for Engineering Education (ASEE), Jan 2012.
Meeting Name
2012 Midwest Section Conference of the American Society for Engineering Education (2012, Sep. 19-21, Rolla, MO)
Department(s)
Electrical and Computer Engineering
Document Type
Article - Conference proceedings
Document Version
Preprint
File Type
text
Language(s)
English
Rights
© 2012 American Society for Engineering Education (ASEE), All rights reserved.
Publication Date
01 Jan 2012
