In this paper, we propose an intelligent surveillance system which can detect human, recognize certain postures and activities, and send out informing SMS messages when abnormal activities are detected. Nine static postures can be recognized using universal eigenspace technique and projection histogram matching method. After recognizing static postures, Hidden Markov Models are used to recognize human behaviors. If the behavior is regarded as an abnormal activity, an informing message will be sent out.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Posture and Activity Recognition Using Projection Histogram and PCA Methods


    Contributors:
    Guo, Ping (author) / Miao, Zhenjiang (author) / Yuan, Yun (author)


    Publication date :

    2008-05-01


    Size :

    420098 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-time posture and activity recognition

    Ozer, L.B. / Wolf, W. | IEEE | 2002


    Real-Time Posture and Activity Recognition

    Ozer, I. B. / Wolf, W. | British Library Conference Proceedings | 2002



    Using Illumination Invariant Color Histogram Descriptors for Recognition

    Healey, G. / Slater, D. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994


    Image Reconstruction by Back Projection Histogram Method for Subsurface Radar

    Tanaka, M. / Takayama, J.-y. / Ohyama, S. et al. | British Library Online Contents | 2002