Luis Jimenez-Linares

TL;DR: A real-time segmentation algorithm to obtain moving objects from the H.264 compressed domain based on motion vectors associated to the macroblocks and decision modes that uses fuzzy logic and allows to describe position, velocity and size of the detected regions in a comprehensive way.

TL;DR: Intelligent surveillance refers to using Artificial Intelligence techniques in order to improve surveillance and deal with semantic information obtained from low-level security devices.

TL;DR: A machine learning-based method to build knowledge bases used to carry out surveillance tasks in environments monitored with video cameras that generates three sets of rules for each camera that allow to detect objects' anomalous behaviours depending on three parameters: object class, object position, and object speed.

TL;DR: A system that, directly from compressed video domain, establishes a correspondence between objects in motion in a video scene and a concrete behaviour by using linguistic variables, based on fuzzification of MPEG motion data.

TL;DR: A new method to automatically obtain linguistic descriptions from a multivariate time series using a fuzzy model called the temporal fuzzy model, which is checked in sports, more concretely, in countermovement jumping.