International Journal of Computer Vision
Steps toward a cognitive vision system
AI Magazine
The Description Logic Handbook
The Description Logic Handbook
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A general method for human activity recognition in video
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A Framework for Model-Based Tracking Experiments in Image Sequences
International Journal of Computer Vision
On scene interpretation with description logics
Image and Vision Computing
Representation of occurrences for road vehicle traffic
Artificial Intelligence
Understanding dynamic scenes based on human sequence evaluation
Image and Vision Computing
Connecting language to the world
Artificial Intelligence - Special volume on connecting language to the world
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey on vision-based human action recognition
Image and Vision Computing
Logic-based trajectory evaluation in videos
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
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Some time ago, Computer Vision has passed the stage where it detected changes in image sequences, estimated Optical Flow, or began to track people and vehicles in videos. Currently, research in Computer Vision has expanded to extract descriptions of single actions or concatenations of actions from videos, sometimes even the description of agent behavior in the recorded scene. This transition from treating mostly quantitative, geometric descriptions to becoming concerned with more qualitative, conceptual descriptions creates contacts between Computer Vision, Computational Linguistics, and Computational Logic. The latter two disciplines have studied the analysis and combination of conceptual constructs already for decades. Based on selected examples, attention will be drawn to the potential which can be tapped if the emerging thematic overlap of research in these three disciplines is investigated collaboratively. This applies in particular to the development of encompassing systems which rely on methods from all three disciplines, for example by providing Natural Language interfaces to more generally applicable combinations of Knowledge Bases with Computer Vision systems.