Projects

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    MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos

    Anurag 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 ...

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    Keywords: Application, Biometrics, Face Recognition, Surveillance, Multi-modality

Publications

2018

  • MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos
    Anurag Chowdhury, Yousef Atoum, Luan Tran, Xiaoming Liu, Arun Ross
    In Proceeding of International Conference on Pattern Recognition (ICPR 2018), Beijing, China, Aug. 2018
    Bibtex | PDF | Poster | Project Webpage
    • @inproceedings{ msu-avis-dataset-fusing-face-and-voice-modalities-for-biometric-recognition-in-indoor-surveillance-videos,
      author = { Anurag Chowdhury and Yousef Atoum and Luan Tran and Xiaoming Liu and Arun Ross },
      title = { MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos },
      booktitle = { In Proceeding of International Conference on Pattern Recognition },
      address = { Beijing, China },
      month = { August },
      year = { 2018 },
    }