Video anomaly detection and localization is one of the key components of the intelligent
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …

The combination of different sensory information to predict upcoming situations is an innate
capability of intelligent beings. Consequently, various studies in the Artificial Intelligence …

Due to the dynamic and uncertain nature of the autonomous driving environment, traditional
detection methods are ineffective in detecting complex and diverse anomalies. Additionally …

Cognitive Informatics (CI) and Cognitive Computing (CC) are fundamental intelligence
theories and general AI technologies triggered by the transdisciplinary advances in …

This paper proposes a multi-modal situational inter-action model for collaborative agents by
fusing multi-sensorial information in a Multi-Agent Hierarchical Dynamic Bayesian Network …

Generalizability and interpretability are common terminologies that can be found in today's
machine learning algorithm design. Generalizability requires a clear understanding of one's …

This paper proposes a method to localize a moving agent-such as an autonomous
surveillance vehicle-inside a known environment using First Person Viewpoint video data …

Humans are our best example of the ability to learn a structure of the world through
observation of environmental regularities. Specifically, humans can learn about different …

La localización y la detección de anomalías son desafíos importantes en la videovigilancia y
en la detección de fallos. Considere el caso de un vehículo que patrulla en una estación de …

Cognitive Informatics (CI) and Cognitive Computing (CC) are fundamental intelligence
theories and general AI technologies triggered by the transdisciplinary advances in …