Abstract The analysis of events in dynamic scenes has become an important and challenging problem increasingly in recent years. Events can be considered as obvious changes of important features with semantic meanings. From this viewpoint, the fundamental task of events analysis is to extract semantically meaningful changes and associate all of these basic motion patterns and changes with relevant visual concepts of moving objects in dynamic scenes. In this paper, we propose a method to extract lower level motion patterns and associate them with visual concepts respectively in a well-defined structure. Furthermore we also analyze latent spatial-temporal relationships among these basic visual concepts for event modeling and analysis. Finally, we present experimental results which prove the effectiveness of our approach on some real-world videos of dynamic scenes.
From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes
Computer Vision – ACCV 2006 ; 10 ; 826-835
Lecture Notes in Computer Science ; 3851 , 10
2006-01-01
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Motion Pattern , Semantic Attribute , Dynamic Scene , Visual Concept , Meaningful Feature Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Image Processing and Computer Vision , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes
British Library Conference Proceedings | 2006
|Multi-agent visual surveillance of dynamic scenes
British Library Online Contents | 1998
|Visual motion pattern extraction and fusion for collision detection in complex dynamic scenes
British Library Online Contents | 2006
|British Library Conference Proceedings | 1998
|