@inproceedings{Denzler95:ETP,
    type = {inproceedings},
    key = {Denzler95:ETP},
    title = {Evaluating the Performance of Active Contour Models for Real-Time Object Tracking},
    author = {Joachim Denzler and Heinrich Niemann},
    booktitle = {Asian Conference on Computer Vision (ACCV)},
    year = {1995},
    address = {Singapore},
    pages = {II/341-II/345},
    volume = {2},
    abstract = {In the past six years many algorithms and models for active contours (snakes) have been presented. Some of the work has been applied to static image analysis, some other to image sequence processing. Despite of the fact that snakes can be used for object tracking, no comparative study of the performance for real-time object tracking is known up to now.  In this paper we compare several active contour models presented earlier in the literature for object tracking: the "Greedy" algorithm, the dynamic programming approach, and the first work of Kass, based on the variational calculus. We discuss and compare the various active contour models with respect to the quality of contour extraction, the computation time and robustness. All evaluation is done using sequences, grabbed during closed-loop real-time experiments.},
    groups = {before2000},
    keywords = {Bild},
}