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Keynote Lectures

Observing People
Modesto Castrillón-Santana, Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI), Universidad de Las Palmas de Gran Canaria (ULPGC), Spain, Spain

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Gian Luca Foresti, Unversity of Udine, Italy, Italy

Observing People

Modesto Castrillón-Santana
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI), Universidad de Las Palmas de Gran Canaria (ULPGC), Spain

Brief Bio
Modesto Castrillón-Santana is a full professor at the University of Las Palmas de Gran Canaria. He obtained his PhD with the thesis entitled "On Real-Time Face Detection in Video Streams: An Opportunistic Approach". His research activities began in the 90s with a focus on the automatic facial analysis problem. Since then, he has also explored various topics in computer vision, perceptual interaction, human-machine interaction, biometrics, and computer graphics. Modesto has collaborated as a co-author on several papers in JCR indexed journals, book chapters, and national and international conferences. He has participated in various research projects and contracts, and is an active reviewer for different high-quality JCR journals and conference program committees. Currently, Modesto serves as an Associate Editor for Pattern Recognition Letters and Image and Vision Computing, and has previously served as an Associate Editor for the IEEE Biometrics Council Newsletter and a Guest Editor for different journals. He is a member of the AEPIA and AERFAI (Spanish Association for Pattern Recognition and Image Analysis).

Abstract
Observing people is a core problem in computer vision and artificial intelligence, with applications covering from human–computer interaction to intelligent surveillance systems. Research in this area has progressively moved from the analysis of facial appearance in controlled conditions to the study of human attributes and behavior in unconstrained, real-world scenarios. This keynote presents a perspective on visual analysis of people in images and video, covering topics such as facial description, gender classification, soft biometric attributes, and the use of holistic and part-based representations. Recent advances in zero-shot and multimodal approaches for pedestrian attribute recognition are also discussed, particularly in the context of in-the-wild data. The talk highlights the challenges posed by variability, bias, limited annotations, and privacy, and outlines open research directions toward more robust and human-centered visual intelligence systems.

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Gian Luca Foresti
Unversity of Udine, Italy

Brief Bio
Prof. Gian Luca Foresti Full Professor in Computer Science, University of Udine, Italy

Abstract
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