Computational geometry: an introduction
Computational geometry: an introduction
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
From Gaze to Focus of Attention
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking the Visual Focus of Attention for a Varying Number of Wandering People
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimised Meeting Recording and Annotation Using Real-Time Video Analysis
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Automatic nonverbal analysis of social interaction in small groups: A review
Image and Vision Computing
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
An immersive system for browsing and visualizing surveillance video
Proceedings of the international conference on Multimedia
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In a typical video surveillance framework, a single camera or a set of cameras monitor a scene in which human activities are carried out. In this paper, we propose a complementary framework where human activities can be analyzed under a subjective point of view. The idea is to represent the focus of attention of a person in the form of a 3D view frustum, and to insert it in a 3D representation of the scene. This leads to novel inferences and reasoning on the scene and the people acting in it. As a particular application of this proposed framework, we collect the information from the subjective view frusta in an Interest Map, i.e. a map that gathers in an effective and intuitive way which parts of the scene are observed more often in a defined time interval. The experimental results on standard benchmark data witness the goodness of the proposed framework, encouraging further efforts for the development of novel applications in the same direction.