The aim of this work is an investigation of interaction between a robot and multiple humans. The head robot is “FurHat” - in Speech, Music and Hearing (TMH) department in KTH - and the most focus is on real-time tracking algorithms. The study contains two parts: first, selecting an efficient algorithm by comparing some of the market’s offers in detecting and/or tracking area; second, establishment of a method which has the possibility of starting a real-time interaction between FurHat and multi-person. A machine learning algorithm in Matlab suggests a method to calculate the coefficients for “Priority Function” which is implemented on the outputs of SHORE library. This function can guide the robot to select the target face which should be chosen for tracking or starting a conversation. The project is done at KTH in TMH department. ; Kometgatan !3, LGH 1302, 41520, Göteborg +46723 61 19 69


    Access

    Download


    Export, share and cite



    Title :

    Techniques for Real-time Multi-person Face Tracking for Human-robot Dialogue


    Contributors:

    Publication date :

    2013-01-01


    Remarks:

    Local oai:bth.se:arkivex272A0FD144E4166BC1257C360038F323


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Multi-sensor multi-person tracking on a mobile robot platform

    Poschmann, Peter | TIBKAT | 2018

    Free access

    Multi-sensor multi-person tracking on a mobile robot platform

    Poschmann, Peter | BASE | 2018

    Free access

    Video arrays for real-time tracking of person, head, and face in an intelligent room

    Huang, K. S. / Trivedi, M. M. | British Library Online Contents | 2003



    Real-time face tracking [3521-18]

    Liang, Y. / Wilder, J. / SPIE | British Library Conference Proceedings | 1998