Event Detection and Analysis from Video Streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Large-Scale Event Detection Using Semi-Hidden Markov Models
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video-based event recognition: activity representation and probabilistic recognition methods
Computer Vision and Image Understanding - Special issue on event detection in video
Coupled Hidden Semi Markov Models for Activity Recognition
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
Pattern Recognition Letters
Knowledge and Event-Based System for Video-Surveillance Tasks
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
A proposal for local and global human activities identification
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
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Semantic interpretation of monitored scenes implies the wellknown problem of linking physical signals received by sensors with their meaning for a human. Our line of work aims to develop a global architecture, which we call "Architecture for Semantic Interpretation of Monitored Scenarios (ASIMS)", to integrate all the information processing abstraction levels, from the sensory agent process and coherent fusion of agent results to behaviour and situation identification. This work presents a specific structure for the acquisition and fusion of events from the object level, which forms part of the global ASIMS structure. In remote processing nodes, events caused by variations in magnitudes in the common data model are identified via finite automata models. These events are merged by the central node to solve the usual problems of centralised systems: synchronisation, redundancy, contradiction and heterogeneity of the information that they receive from different sources. For this we have broken down the fusion mechanism into three stages: Synchronisation, Standardisation and Fusion, which are described in the article with simple examples.