VICOMTECH-IK4 is an applied research centre in Computer Graphics, Visual Computing and Multimedia with a staff of around 105 people, 28 of them PhD researchers.
The robotic research team works within the Intelligent Transport System and Engineering Department which develops, among others, advanced computer vision based ITS tailored solutions for the industry. Some of the main research topics include hardware and software techniques for ADAS, SLAM, computer vision, automatic traffic control, object reconstruction systems, automatic motion capture and combined motor action interpretation, 3D simulation, college engineering, semantics.
Their expertise includes as well the development of
- sensing capabilities for robots, such as artificial vision, sensor fusion, cognition systems, environment automatic reconstruction
- assistance abilities in application scenarios
- human robot interaction through natural language or gesture.
VICOMTECH-IK4 has developed a software library named Viulib® that collects, processes and analyses real-time video images. Viulib® simplifies the building of complex computer vision, machine learning and artificial intelligence solutions. Viulib® is a proprietary software library, a solution that collects, processes and analyses real-time video images. Viulib® is a set of precompiled SW libraries for computer vision applications, which simplifies the building of complex vision-based solutions, reduces time in prototyping phases, facilitates technology validation, optimizes scalable deployments and enables transparent licensing schemes.
VICOMTECH-IK4 has a wide track of European and national RTD projects within different robotic fields: rehabilitation of the main motor functions for bad stroke injured people;
driverless GNSS based taxi application capable of operating cost effectively, safely and with a high reliability within private circumscribed sites whatever their topographic configurations;
support to surgery through haptic interaction, teleoperation capabilities and simulation.
Some EU related projects:
- TAXISAT (FP7-GALILEO),
- SAVASA (FP7-SEC),
- ARGUS (FP7-ICT),
- KOMPEYE (EU FP7 ECHORD – Call 3),
- REPLAY (FP7-ICT).
Some related publications:
M. Nieto, J. D. Ortega, A. Cortes, and S. Gaines, “Perspective Multiscale Detection and Tracking of Persons,” MMM 2014, Part II, LNCS 8326, pp. 92-103, 2014. -
E. Kafetzakis, C. Xilouris, M. A. Kourtis, M. Nieto, I. Jargalsaikhan, S. Little, “The Impact of Video Transcoding Parameters on Event Detection for Surveillance Systems”, IEEE International Symposium on Multimedia (ISM 2013), California, USA, December 9-11, 2013.
J. Barandiaran, C. Cortes, M. Nieto, M. Graña, and O. Ruiz, “A New Evaluation Framework and Image Dataset for Key Point Extraction and Feature Descriptor Matching,” in Proc. Int. Conf. on Computer Vision Theory and Applications VISAPP2013, pp. 252-257, 2013.
J. D. Ortega, M. Nieto, and A. Cortés, “Perspective Multiscale Detection of Vehicles for Real-time Forward Collision Avoidance Systems,” Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 8192, pp. 645-656, 2013.
M. Nieto, A. Cortés, O. Otaegui, J. Arróspide, and L. Salgado, “Real-time lane tracking using Rao-Blackwellized particle filter,” Journal of Real-Time Image Processing, pp. 1-13, 2012 (DOI: 10.1007/s11554-012-0315-0).
M. Nieto, L. Unzueta, A. Cortes, J. Barandiaran, O. Otaegui, and P. Sanchez, “Real-time 3D modeling of vehicles in low-cost monocamera systems,” in Proc. Int. Conf. on Computer Vision Theory and Applications VISAPP2011, pp. 459-464. (DOI 10.5220/0003312104590464).
Full list of publications is available on the following site: http://www.vicomtech.org/en/scientific-excellence-publications-2014