Automatic symbolic traffic scene analysis using belief networks
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Ontology and Taxonomy Collaborated Framework for Meeting Classification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Towards automatic analysis of social interaction patterns in a nursing home environment from video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Ontology-enabled activity learning and model evolution in smart homes
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Event detection and recognition for semantic annotation of video
Multimedia Tools and Applications
Time handling for real-time progressive activity recognition
Proceedings of the 2011 international workshop on Situation activity & goal awareness
A semantic-based probabilistic approach for real-time video event recognition
Computer Vision and Image Understanding
International Journal of Multimedia Data Engineering & Management
Human nonverbal behavior multi-sourced ontological annotation
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
Common-sense reasoning for human action recognition
Pattern Recognition Letters
Surveillance video synopsis in the compressed domain for fast video browsing
Journal of Visual Communication and Image Representation
Dynamic sensor data segmentation for real-time knowledge-driven activity recognition
Pervasive and Mobile Computing
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Representation and recognition of human activities is an important problem for video surveillance and security applications. Considering the wide variety of settings in which surveillance systems are being deployed, it is necessary to create a common knowledge-base or ontology of human activities. Most current attempts at ontology design in computer vision for human activities have been empirical in nature. In this paper, we present a more systematic approach to address the problem of designing ontologies for visual activity recognition. We draw on general ontology design principles and adapt them to the specific domain of human activity ontologies. Then, we discuss qualitative evaluation principles and provide several examples from existing ontologies and how they can be improved upon. Finally, we demonstrate quantitatively in terms of recognition performance, the efficacy and validity of our approach for bank and airport tarmac surveillance domains.