Ivan Huerta is currently a Post-Doctoral Researcher at Disney Research. He is currently working on motion capture where he is researching and developing a new prototype sensor fusion system for body motion capture in complex environments, comprising inertial & optical sensors with integrated, synchronized processing across a wide range of scenarios (intense backlighting, dense atmospheric conditions, low-light, numerous actors). His research interests include motion segmentation, shadow detection, tracking, laser and image object detection, human-robot interaction, feature extraction, soft biometrics, virtual reality, and motion capture
He completed his Ph.D. in Computer Vision at the “Universitat Autonòma of Barcelona (UAB)” in 2010, working on motion segmentation, shadow detection, and tracking. He later worked as a post-doctoral researcher at the “Institut de Robòtica i Informàtica industrial (IRI)” where his main research was in developing algorithms to detect people on an humanoid robot using laser and image information in real time. He has also been a post-doctoral researcher at “Universita di Venezia (IUAV)” where he worked in facial soft biometrics for generic description of people based on age, gender, and ethnicity using machine learning approaches such as deep learning. He is an author of more than 20 papers in international conferences and journals and has been a lecturer at the master and undergraduate level. He has been part of the organizing committee for ICCV, and ICDSC conferences and has also collaborated on several national and European research projects. See his personal page for more details.