Representation of occurrences for road vehicle traffic
Artificial Intelligence
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Multimodal Technologies for Perception of Humans
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Multimodal Technologies for Perception of Humans
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Semantic Representation and Recognition of Continued and Recursive Human Activities
International Journal of Computer Vision
Computers in the Human Interaction Loop
Computers in the Human Interaction Loop
Understanding dynamic scenes based on human sequence evaluation
Image and Vision Computing
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Handbook of Ambient Intelligence and Smart Environments
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IEEE Transactions on Circuits and Systems for Video Technology
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RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
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ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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Most approaches to the visual perception of humans do not include high-level activity recognitition. This paper presents a system that fuses and interprets the outputs of several computer vision components as well as speech recognition to obtain a high-level understanding of the perceived scene. Our laboratory for investigating new ways of human-machine interaction and teamwork support, is equipped with an assemblage of cameras, some close-talking microphones, and a videowall as main interaction device. Here, we develop state of the art real-time computer vision systems to track and identify users, and estimate their visual focus of attention and gesture activity. We also monitor the users' speech activity in real time. This paper explains our approach to highlevel activity recognition based on these perceptual components and a temporal logic engine.