Now showing items 1-12 of 12

  • Comparative analysis for detecting objects under cast shadows in video images 

    Scandaliaris, Jorge; Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto (2010)
    Conference report
    Open Access
  • Detection performance evaluation of boosted random Ferns 

    Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (Springer, 2011)
    Conference report
    Open Access
    We present an experimental evaluation of Boosted Random Ferns in terms of the detection performance and the training data. We show that adding an iterative bootstrapping phase during the learning of the object classifier, ...
  • Efficient 3D object detection using multiple pose-specific classifiers 

    Villamizar Vergel, Michael Alejandro; Grabner, Helmut; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Van Gool, Luc; Moreno-Noguer, Francesc (2011)
    Conference report
    Open Access
    We propose an efficient method for object localization and 3D pose estimation. A two-step approach is used. In the first step, a pose estimator is evaluated in the input images in order to estimate potential object ...
  • Efficient approaches for object class detection 

    Villamizar Vergel, Michael Alejandro (Universitat Politècnica de Catalunya, 2012-09-18)
    Doctoral thesis
  • Efficient rotation invariant object detection using boosted random Ferns 

    Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (2010)
    Conference report
    Open Access
    We present a new approach for building an efficient and robust classifier for the two class problem, that localizes objects that may appear in the image under different orientations. In contrast to other works that address ...
  • Local boosted features for pedestrian detection 

    Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer Verlag, 2009-06-12)
    Part of book or chapter of book
    Open Access
    The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. The first one learns discriminant local ...
  • Object recognition 

    Andrade-Cetto, Juan; Villamizar Vergel, Michael Alejandro (John Wiley & Sons, 2007)
    Part of book or chapter of book
    Open Access
    Object recognition entails identifying instances of known objects in sensory data by searching for a match between features in a scene and features on a model. The key elements that make object recognition feasible are the ...
  • Online human-assisted learning using random ferns 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2012)
    Conference report
    Open Access
    We present an Online Random Ferns (ORFs) classifier that progressively learns and builds enhanced models of object appearances. During the learning process, we allow the human intervention to assist the classifier and ...
  • Robot interactive learning through human assistance 

    Ferrer Mínguez, Gonzalo; Garrell Zulueta, Anais; Villamizar Vergel, Michael Alejandro; Huerta Casado, Iván; Sanfeliu Cortés, Alberto (Springer Berlin Heidelberg, 2013)
    Part of book or chapter of book
    Open Access
  • Robust color contour object detection invariant to shadows 

    Scandaliaris, Jorge; Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (Springer Verlag, 2007)
    Part of book or chapter of book
    Open Access
    In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that emphasizes material changes and a contour-based ...
  • Shared random Ferns for efficient detection of multiple categories 

    Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (2010)
    Conference report
    Open Access
    We propose a new algorithm for detecting multiple object categories that exploits the fact that different categories may share common features but with different geometric distributions. This yields an efficient detector ...
  • Unidimensional multiscale local features for object detection under rotation and mild occlusions 

    Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer Verlag, 2007)
    Part of book or chapter of book
    Open Access
    In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows ...