Now showing items 1-5 of 5

    • Face-TLD: Tracking-Learning-Detection applied to faces 

      Author: Kalal, Zdenek; Mikolajczyk, Krystian; Matas, Jiří
      (IEEE, 2010-09)
      A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a generic detector and a validator which is ...
    • Forward-Backward Error: Automatic Detection of Tracking Failures 

      Author: Kalal, Zdenek; Mikolajczyk, Krystian; Matas, Jiří
      (IEEE, 2010-08)
      This paper proposes a novel method for tracking failure detection. The detection is based on the Forward-Backward error, i.e. the tracking is performed forward and backward in time and the discrepancies between these two ...
    • Improving Descriptors for Fast Tree Matching by Optimal Linear Projection 

      Author: Mikolajczyk, Krystian; Matas, Jiří
      (IEEE, 2007-10)
      In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that inter-image deviations of corresponding ...
    • Online learning of robust object detectors during unstable tracking 

      Author: Kalal, Zdenek; Matas, Jiří; Mikolajczyk, Krystian
      (IEEE, 2009-09)
      This work investigates the problem of robust, longterm visual tracking of unknown objects in unconstrained environments. It therefore must cope with frame-cuts, fast camera movements and partial/total object occlusions/d ...
    • P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints 

      Author: Kalal, Zdenek; Matas, Jiří; Mikolajczyk, Krystian
      (IEEE, 2010-06)
      This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the label of one example restricts the labeling ...