From image sequences towards conceptual descriptions
Image and Vision Computing
Visual surveillance in a dynamic and uncertain world
Artificial Intelligence - Special volume on computer vision
Interpreting a dynamic and uncertain world: task-based control
Artificial Intelligence
Issues of representing context illustrated by video-surveillance applications
International Journal of Human-Computer Studies - Special issue: using context in applications
A synthetic agent system for Bayesian modeling of human interactions
Proceedings of the third annual conference on Autonomous Agents
A framework for recognizing multi-agent action from visual evidence
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Perceptual user interfaces: the KidsRoom
Communications of the ACM
Learning variable-length Markov models of behavior
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Recognizing planned multiperson action
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Video Annotation: Computers Watching Video
ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
The Acquisition and Use of Interaction Behavior Models
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Action Recognition Using Probabilistic Parsing
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
T3wT: Tracking Turning Trucks with Trailers
VS '98 Proceedings of the 1998 IEEE Workshop on Visual Surveillance
The KidsRoom: A Perceptually-Based Interactive and Immersive Story Environment
Presence: Teleoperators and Virtual Environments
Optional deep case filling and focus control with mental images: ANTLIMA-KOREF
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Recurrent Bayesian network for the recognition of human behaviors from video
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Approximate world models: incorporating qualitative and linguistic information into vision systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Pattern Recognition Letters
A task-driven intelligent workspace system to provide guidance feedback
Computer Vision and Image Understanding
Logic-based trajectory evaluation in videos
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Cognitive visual tracking and camera control
Computer Vision and Image Understanding
Human activity monitoring by local and global finite state machines
Expert Systems with Applications: An International Journal
Supporting fuzzy metric temporal logic based situation recognition by mean shift clustering
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
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An artificial cognitive vision system associates video signals with conceptual descriptions of the depicted time-varying scene. This linkage is mediated by knowledge representation formalisms. An experimental implementation of such an approach yielded initial results for the conceptual description of videos recorded at innercity traffic scenes, see [M. Haag, H.-H. Nagel, Incremental recognition of traffic situations from video image sequences, Image and Vision Computing 18 (2) (2000) 137-153]. Accumulating experience with this system approach and its extension for the generation of natural language texts from videos caused us to redesign the overall computer vision system as well as the knowledge representation formalisms utilised within that system.