This paper presents a detection system which uses information from a profile face detector and an ear detector to better localize true profiles.
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)
Downloads
Similar Publications
- New Technique for Synthesizing Concurrent Dual-Band Impedance-Matching Filtering Networks and 0.18-μm SiGe BiCMOS 25.5/37-GHz Concurrent Dual-Band Power Amplifier
- Variation Trained Drowsy Cache (VTD-Cache): A History Trained Variation Aware Drowsy Cache for Fine Grain Voltage Scaling
- Refined, regionally-specific data standards reveal heterogeneity in Hispanic death records