Luis Jimenez-Linares

TL;DR: A formal model to define normal events and behaviours in monitored environments and to build scalable surveillance systems is presented, based on the use of normality components, which are independent and reusable for environments with different characteristics and different kinds of objects.

TL;DR: A system for detecting road departures by comparing linguistic representations for the trajectory of the vehicle with that for the lane marks of the road, obtained from a single camera processing exclusively the H264 motion vectors extracted from the recorded video.

TL;DR: In this article, the authors analyse different success models and split time on cut-off point values on physical demands to keep category in semi-professional football players, and show significant differences between high-intensity attributes criteria that considered split time in velocity zones of 0-15 min (p = 0.043, ηp2 = 0., 0.065, medium), 30-45 min, 30-50 min, 60-75 min, and 75-90 min.

TL;DR: In this paper, a method for generating linguistic descriptions based on the noise pollution data captured by noise measurement stations is presented, which considers the daily periods in which the data taken from the stations are structured (daytime, evening, night-time and full day).

TL;DR: In this article , a method for aggregating the information contained in sets of time series (TS) into a Fuzzy Time Series (FTS) is proposed, which allows obtaining richer information and operating under conditions of uncertainty.