Now showing items 1-6 of 6

    • Fractal based approach for face recognition 

      Athale, Suprita (Dhirubhai Ambani Institute of Information and Communication Technology, 2004)
      An automated face recognition system is proposed in this dissertation. The system efficiently recognizes a candidate (test) image using the interdependence of the pixel that arises from the fractal compression of the image. ...
    • Human action recognition in video 

      Kumari, Sonal (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...
    • Person recognition from their hum 

      Madhavi, Maulik C. (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      In this thesis, design of person recognition system based on person's hum is presented. As hum is nasalized sound and LP (Linear Predication) model does not characterize nasal sounds sufficiently, our approach in this work ...
    • Speaker recognition over VoIP network 

      Goswami, Parth A. (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      This thesis deals with the Automatic Speaker Recognition (ASR) system over narrowband Voice over Internet Protocol (VoIP) networks. There are several artifacts of VoIP network such as speech codec, packet loss and packet ...
    • Study of face recognition systems 

      Patel, Hima M. (Dhirubhai Ambani Institute of Information and Communication Technology, 2006)
      Face Recognition comes under the general area of object recognition and has attracted researchers in the pattern recognition community for the past thirty years. The significance of this area has grown rapidly largely for ...
    • Vehicle detection and tracking 

      Rao, K. Ramprasad (Dhirubhai Ambani Institute of Information and Communication Technology, 2009)
      Real time trafficc monitoring is one of the most challenging problems in machine vision. This is one of the most sorted out research topic because of the wide spec-trum of promising applications in many areas such as smart ...