Guillermo Aguirre Carrazana

Minsait · Phygital

The automatic recognition of a person's emotional state has become a very active research field that involves scientists specialized in different areas such as artificial intelligence, computer vision, or psychology, among others. Our main objective in this work is to develop a novel approach, using persistent entropy and neural networks as main to...

The automatic recognition of a person's emotional state has become a very active research field that involves scientists specialized in different areas such as artificial intelligence, computer vision or psychology, among others. Our main objective in this work is to develop a novel approach, using persistent entropy and neural networks as main too...

Gait recognition is an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. In this paper, we present a persistent homology-based method to extract topological features from the body silhouettes of a gait sequence. It has been used before in several papers for the second author for human identifi...

Gait recognition is a useful biometric trait for person recognition because it is usable even with low images resolution. This biometric technique is particularly suitable for long-distance human identification, and requires no explicit cooperation by subjects. Unfortunately, gait recognitions exhibits variations due to changes in view angles, shoe...

The height of a person can be used as a Soft Biometrics feature in surveillance scenarios. The automatic estimation of pedestrian height have been addressed mostly on calibrated cameras. We are proposing a new method for real height estimation in videos from uncalibrated cameras. Our proposal computes the horizon line within the scene and then, the...

Gait recognition is an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. In this paper, we present a persistent homology-based method to extract topological features from the body silhouettes of a gait sequence. It has been used before in several papers for the second author for human identifi...

Topological Data Analysis (TDA) is an area of applied mathematics currently garnering all sorts of attention in the world of analytics. The main goal of this work is to provide an introduction to the main contributions achieved in the field with an underlying statistical approach. Some methods are outlined for transforming clouds of points in compl...