• AttenGait: Gait recognition with attention and rich modalities 

      Castro, Francisco M.; Delgado-Escaño, Rubén; Hernández-García, Ruber; Marín-Jiménez, M.J.; Guil, Nicolás (Elsevier, 2024)
      Current gait recognition systems employ different types of manual attention mechanisms, like horizontal cropping of the input data to guide the training process and extract useful gait signatures for people identification. ...
    • Automatic learning of gait signatures for people identification 

      Castro, F.M.; Marín-Jiménez, M.J.; Guil, N.; Pérez de la Blanca, N. (2017-12-05)
      This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of ...
    • Detecting People Looking at Each Other in Videos 

      Marín-Jiménez, M.J.; Zisserman, A.; Eichner, M.; Ferrari, V. (Springer Nature, 2013)
      The objective of this work is to determine if people are interacting in TV video by detecting whether they are looking at each other or not. We determine both the temporal period of the interaction and also spatially ...
    • Fiducial objects: custom design and evaluation 

      García-Ruíz, Pablo; Romero Ramírez, Francisco J.; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Medina-Carnicer, R. (MDPI, 2023)
      Camera pose estimation is vital in fields like robotics, medical imaging, and augmented reality. Fiducial markers, specifically ArUco and Apriltag, are preferred for their efficiency. However, their accuracy and viewing ...
    • Fisher Motion Descriptor for Multiview Gait Recognition 

      Castro, F.M.; Muñoz Salinas, Rafael; Guil, N.; Marín-Jiménez, M.J. (2017)
      The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on ...
    • Human interaction categorization by using audio-visual cues 

      Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Yeguas-Bolívar, Enrique; Pérez de la Blanca, N. (Springer Nature, 2013)
      Human Interaction Recognition (HIR) in uncontrolled TV video material is a very challenging problem because of the huge intra-class variability of the classes (due to large differences in the way actions are performed, ...
    • Keypoint descriptor fusion with Dempster-Shafer Theory 

      Mondéjar Guerra, Víctor Manuel; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Carmona Poyato, Ángel; Medina-Carnicer, R. (2017)
      Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and ...
    • Mixing body-parts model for 2D human pose estimation in stereo videos 

      López-Quintero, Manuel I.; Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Medina-Carnicer, R. (Institution of Engineering and Technology, 2017)
      This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very ...
    • ReSLAM: Reusable SLAM with heterogeneous cameras 

      Romero Ramírez, Francisco J.; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Carmona Poyato, Ángel; Medina-Carnicer, R. (Elsevier, 2024)
      State-of-the-art SLAM methods are designed to work only with the type of camera employed to create the map, and little attention has been paid to the reusability of the maps created. In other words, the maps generated by ...
    • sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints 

      Romero Ramírez, Francisco J.; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Cazorla, Miguel; Medina-Carnicer, R.; Romero Ramírez, Francisco J. (MDPI, 2023)
      Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving ...
    • Stereo Pictorial Structure for 2D Articulated Human Pose Estimation 

      López-Quintero, Manuel I.; Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Madrid-Cuevas, F.J.; Medina-Carnicer, R. (2015)
      In this paper, we consider the problem of 2D human pose estimation on stereo image pairs. In particular, we aim at estimating the location, orientation and scale of upper-body parts of people detected in stereo image ...
    • The AVA Multi-View Dataset for Gait Recognition 

      López-Fernández, D.; Madrid-Cuevas, F.J.; Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Carmona Poyato, Ángel (2018)
      In this paper, we introduce a new multi-view dataset for gait recognition. The dataset was recorded in an indoor scenario, using six convergent cameras setup to produce multi-view videos, where each video depicts a ...
    • UCO physical rehabilitation: new dataset and study of human pose estimation methods on physical rehabilitation exercises 

      Aguilar-Ortega, Rafael; Berrral-Soler, Rafael; Jiménez-Velasco, Isabel; Romero Ramírez, Francisco J.; García-Marín, Manuel; Zafra-Palma, Jorge; Muñoz-Salinas, Rafael; Medina-Carnicer, R.; Marín-Jiménez, M.J. (MDPI, 2023)
      Physical rehabilitation plays a crucial role in restoring motor function following injuries or surgeries. However, the challenge of overcrowded waiting lists often hampers doctors’ ability to monitor patients’ recovery ...