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
- Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
- Emotional Fear of Crime vs. Perceived Safety and Risk: Implications for Measuring Fear and Testing the Broken Windows Theory
- Profiles of Law Enforcement Agency Body Armor Policies-A Latent Class Analysis of the LEMAS 2013 Data