Now showing items 1-10 of 10

  • Action recognition based on efficient deep feature learning in the spatio-temporal domain 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Article
    Open Access
    Hand-crafted feature functions are usually designed based on the domain knowledge of a presumably controlled environment and often fail to generalize, as the statistics of real-world data cannot always be modeled correctly. ...
  • Combining semantic and geometric features for object class segmentation of indoor scenes 

    Husain, Syed Farzad; Schulz, Hannes; Dellen, Babette Karla Margarete; Torras, Carme; Behnke, Sven (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Article
    Open Access
    Scene understanding is a necessary prerequisite for robots acting autonomously in complex environments. Low-cost RGB-D cameras such as Microsoft Kinect enabled new methods for analyzing indoor scenes and are now ubiquitously ...
  • Consistent depth video segmentation using adaptive surface models 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (2014)
    Article
    Open Access
    We propose a new approach for the segmentation of 3-D point clouds into geometric surfaces using adaptive surface models. Starting from an initial configuration, the algorithm converges to a stable segmentation through a ...
  • Joint segmentation and tracking of object surfaces in depth movies along human/robot manipulations 

    Dellen, Babette; Husain, Syed Farzad; Torras, Carme (2013)
    Conference report
    Open Access
    A novel framework for joint segmentation and tracking in depth videos of object surfaces is presented. Initially, the 3D colored point cloud obtained using the Kinect camera is used to segment the scene into surface patches, ...
  • Perceiving dynamic environments : from surface geometry to semantic representation 

    Husain, Syed Farzad (Universitat Politècnica de Catalunya, 2016-10-27)
    Doctoral thesis
    Open Access
    Perceiving human environments is becoming increasingly fundamental with the gradual adaptation of robots for domestic use. High-level tasks such as the recognition of objects and actions need to be performed far the active ...
  • Realtime tracking and grasping of a moving object from range video 

    Husain, Syed Farzad; Colomé Figueras, Adrià; Dellen, Babette Karla Margarete; Alenyà Ribas, Guillem; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Open Access
    In this paper we present an automated system that is able to track and grasp a moving object within the workspace of a manipulator using range images acquired with a Microsoft Kinect sensor. Realtime tracking is achieved ...
  • Recognizing point clouds using conditional random fields 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Open Access
    Detecting objects in cluttered scenes is a necessary step for many robotic tasks and facilitates the interaction of the robot with its environment. Because of the availability of efficient 3D sensing devices as the Kinect, ...
  • Robust surface tracking in range image sequences 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (2014)
    Article
    Open Access
    A novel robust method for surface tracking in range-image sequences is presented which combines a clustering method based on surface models with a particle-filter-based 2-D affine-motion estimator. Segmented regions obtained ...
  • Scene understanding using deep learning 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (Elsevier, 2017)
    Part of book or chapter of book
    Open Access
    Automation based on artificial intelligence becomes necessary when agents such as robots are deployed to perform complex tasks. Detailed representation of a scene makes robots better aware of their surroundings, thereby ...
  • Semantic segmentation priors for object discovery 

    Martín García, Germán; Husain, Syed Farzad; Schulz, Hannes; Frintrop, Simone; Torras, Carme; Behnke, Sven (IEEE Press, 2016)
    Conference report
    Open Access
    Reliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such ...