NCJ Number
305683
Date Published
2008
Length
6 pages
Annotation
This paper presents a detection system which uses information from a profile face detector and an ear detector to better localize true profiles.
Abstract
The system was tested on data from a simulated security checkpoint. Drivers' profiles were detected as their vehicles passed the camera. The detection rate for the multi-biometric detector is 95% with an average of 0.15 false detections per image. On the same data, a conventional detector had a detection rate of 97% with an average of 1.8 false detections per image. It is shown that a multi-biometric detector provides a performance boost over conventional detectors. (Publisher abstract provided)
Date Published: January 1, 2008
Downloads
Similar Publications
- Assessment of the Effectiveness of Emergency Lighting, Retroreflective Markings, and Paint Color on Policing and Law Enforcement Safety
- A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection
- I studied ShotSpotter in Chicago and Kansas City – Here’s What People in Detroit and the More Than 167 Other Cities and Towns Using This Technology Should Know