MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance VideosAnurag Chowdhury, Yousef Atoum, Luan Tran, Xiaoming Liu, Arun Ross
Indoor video surveillance systems often use the face modality to establish the identity of a person of interest. However, the face image may not offer sufficient discriminatory information in many scenarios due to substantial variations in pose, illumination, expression, resolution and distance between the subject and the camera.
In such ...Continue reading
Keywords: Application, Biometrics, Face Recognition, Surveillance, Multi-modality