In this paper we show that Ullman and Basri's linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outlier detection in motion tracking with an affine camera. For this task LC can be realized either on image frames or feature trajectories, and therefore two methods are developed which we call linear combination of frames and linear combination of trajectories. For robust estimation of the linear combination coefficients, the support vector regression (SVR) algorithm is used and compared with the RANSAC method. SVR based on quadratic programming optimization can efficiently deal with more than 50 percent outliers and delivers more consistent results than RANSAC in our experiments. The linear combination representation can use SVR in a straightforward manner while previous factorization-based or subspace separation methods cannot. Experimental results are presented using real video sequences to demonstrate the effectiveness of our LC+SVR approaches, including a quantitative comparison of SVR and RANSAC.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Linear combination representation for outlier detection in motion tracking


    Contributors:
    Guo, G. (author) / Dyer, C.R. (author) / Zhang, Z. (author)


    Publication date :

    2005-01-01


    Size :

    515275 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Outlier detection and motion segmentation [2059-29]

    Torr, P. H. S. / Murray, D. W. / SPIE | British Library Conference Proceedings | 1993


    ST TD outlier detection

    Sun, Dihua / Zhao, Hongzhuan / Yue, Hang et al. | Wiley | 2017

    Free access

    Motion estimates combination for object tracking

    Gil,S. / Milanese,R. / Pun,T. et al. | Automotive engineering | 1997


    Motion Estimates Combination for Object Tracking

    Gil, S. / Milanese, R. / Pun, T. | British Library Conference Proceedings | 1997


    ST TD outlier detection

    Sun, Dihua / Zhao, Hongzhuan / Yue, Hang et al. | IET | 2017

    Free access