Validating video analytics in mission critical applications

Authors:
Stephen J. Mitchell;Sukhpreet Gill;Steve Loveless;Brent Auernheimer
Affiliations:
Pelco, Clovis, CA;Pelco, Clovis, CA;Pelco, Clovis, CA;Computer Science, California State University, Fresno, CA
Venue:
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
Year:
2011

Citing 4
Cited 0

Evaluating software engineering methods and tool—part 4: the influence of human factors

ACM SIGSOFT Software Engineering Notes
Distributed cognition: toward a new foundation for human-computer interaction research

ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 2
THE WAY I SEE IT: Workarounds and hacks: the leading edge of innovation

interactions - Changing energy use through design
The Design of Everyday Things

The Design of Everyday Things

Quantified Score

Hi-index	0.00

Visualization

Abstract

Video Analytics (VA) automates and aids intelligent decision making in video surveillance applications. A video security system combines sophisticated video analytics with the oversight and judgment of human operators to save lives and critical resources. The complexity of the user experience and the range of deployments of VA make testing particularly challenging. Trade-offs between functional tests and focused usability tests are used to build a case for trustworthiness. This paper describes a method for validating video analytics for use in mission critical applications.