Explainable Deep Networks
Abstract
As recently as December of 2016, terrorist groups such as ISIS have called for an increase in attacks against US Naval Bases. To prevent such incidents, video surveillance cameras can be used to monitor critical areas for potential threats. However, monitoring video surveillance cameras can be a challenging task. Atypical setup employs many cameras which all produce a significant amount of information. The manpower required to monitor these cameras is tremendous, which can then lead to a reliance on automated video analytics. At issue is the effectiveness of these analytics in communicating important information to the warfighter. State-of-the-art approaches can locate potential threats, but are unable to explain why something might be a threat. The warfighter needs actionable intelligence: explanations are important as they can provide this important information.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 30, 2021
- Accession Number
- AD1149306
Entities
People
- Wallace Lawson
Organizations
- United States Naval Research Laboratory