Now showing items 1-20 of 25

  • Aerial social force model: a new framework to accompany people using autonomous flying robots 

    Garrell Zulueta, Anais; Garza Elizondo, Luís Alberto; Villamizar Vergel, Michael Alejandro; Herrero Cotarelo, Fernando; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    We proposed a novel Aerial Social Force Model (ASFM) that allows autonomous flying robots to accompany humans in urban environments in a safe and comfortable manner. To date, we are not aware of other state-of-the-art ...
  • Boosted Random ferns for object detection 

    Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2018-02-01)
    Article
    Open Access
    In this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce ...
  • 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
    Open Access
    La visión por computador y más específicamente el reconocimiento de objetos han demostrado en los últimos años un impresionante progreso que ha llevado a la aparición de nuevas y útiles tecnologías que facilitan nuestras ...
  • Efficient monocular pose estimation for complex 3D models 

    Rubio Romano, Antonio; Villamizar Vergel, Michael Alejandro; Ferraz Colomina, Luis; Peñate Sánchez, Adrián; Ramisa Ayats, Arnau; Simó Serra, Edgar; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    We propose a robust and efficient method to estimate the pose of a camera with respect to complex 3D textured models of the environment that can potentially contain more than 100, 000 points. To tackle this problem we ...
  • 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 ...
  • Estimación monocular y eficiente de la pose usando modelos 3D complejos 

    Rubio Romano, Antonio; Villamizar Vergel, Michael Alejandro; Ferraz Colomina, Luis; Peñate Sánchez, Adrián; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2014)
    Conference report
    Open Access
    El siguiente documento presenta un método robusto y eficiente para estimar la pose de una cámara. El método propuesto asume el conocimiento previo de un modelo 3D del entorno, y compara una nueva imagen de entrada únicamente ...
  • Fast online learning and detection of natural landmarks for autonomous aerial robots 

    Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Restricted access - publisher's policy
    We present a method for efficiently detecting natural landmarks that can handle scenes with highly repetitive patterns and targets progressively changing its appearance. At the core of our approach lies a Random Ferns ...
  • Interactive multiple object learning with scanty human supervision 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2016-08)
    Article
    Open Access
    We present a fast and online human-robot interaction approach that progressively learns multiple object classifiers using scanty human supervision. Given an input video stream recorded during the human robot interaction, ...
  • 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 ...
  • Modeling robot's world with minimal effort 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    We propose an efficient Human Robot Interaction approach to efficiently model the appearance of all relevant objects in robot’s environment. Given an input video stream recorded while the robot is navigating, the user just ...
  • Multimodal object recognition using random clustering trees 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2015)
    Conference report
    Open Access
    In this paper, we present an object recognition approach that in addition allows to discover intra-class mo dalities exhibiting high-correlated visual information. Unlike to more conventional approaches based on computing ...
  • 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 ...
  • Proactive behavior of an autonomous mobile robot for human-assisted learning 

    Garrell Zulueta, Anais; Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (2013)
    Conference report
    Open Access
    During the last decade, there has been a growing interest in making autonomous social robots able to interact with people. However, there are still many open issues regarding the social capabilities that robots should have ...
  • Random clustering ferns for multimodal object recognition 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2017-09-01)
    Article
    Open Access
    We propose an efficient and robust method for the recognition of objects exhibiting multiple intra-class modes, where each one is associated with a particular object appearance. The proposed method, called random clustering ...
  • Real time people detection combining appearance and depth image spaces using boosted random ferns 

    Vaquero Gómez, Víctor; Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto (Springer, 2015)
    Conference report
    Open Access
    This paper presents a robust and real-time method for people detection in urban and crowed environments. Unlike other conventional methods which either focus on single features or compute multiple and independent classifiers ...
  • 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