A robust method for picture segmentation based on split-and-merge procedure
Computer Vision, Graphics, and Image Processing
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Experiments in segmenting texton patterns using localized spatial filters
Pattern Recognition
Unsupervised Texture Segmentation Using Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised segmentation of noisy and textured images using Markov random fields
CVGIP: Graphical Models and Image Processing
Learning in the recurrent random neural network
Neural Computation
Digital video processing
Social potential fields: a distributed behavioral control for autonomous robots
WAFR Proceedings of the workshop on Algorithmic foundations of robotics
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
An Behavior-based Robotics
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
Dynamic Registration Correction in Video-Based Augmented Reality Systems
IEEE Computer Graphics and Applications
Learning to Predict by the Methods of Temporal Differences
Machine Learning
A Modular Approach to Multi-Agent Reinforcement Learning
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
Neural Network-Based Cloud Classification on Satellite Imagery Using Textural Features
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Unsupervised Texture Segmentation by Hebbian Learnt Cortical Cells
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Behavioral diversity in learning robot teams
Behavioral diversity in learning robot teams
The artificial life roots of artificial intelligence
Artificial Life
Laser intensity vehicle classification system based on random neural network
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Emergency response simulation using wireless sensor networks
Proceedings of the 1st international conference on Ambient media and systems
An initiative for a classified bibliography on G-networks
Performance Evaluation
Large scale simulation for human evacuation and rescue
Computers & Mathematics with Applications
AVATAR: autonomous visual authoring of tangible augmented reality
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
Design considerations for a cyber-physical testing language on the example of autonomous driving
Proceedings of the 2012 workshop on Domain-specific modeling
Setting the best view of a virtual teacher in a mixed reality physical-task learning support system
Journal of Systems and Software
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In many critical applications such as airport operations (for capacity planning), military simulations (for tactical training and planning), and medical simulations (for the planning of medical treatment and surgical operations), it is very useful to conduct simulations within physically accurate and visually realistic settings that are represented by real video imaging sequences. Furthermore, it is important that the simulated entities conduct autonomous actions which are realistic and which follow plans of action or intelligent behavior in reaction to current situations. We describe the research we have conducted to incorporate synthetic objects in a visually realistic manner in video sequences representing a real scene. We also discuss how the synthetic objects can be designed to conduct intelligent behavior within an augmented reality setting. The paper discusses both the computer vision aspects that we have addressed and solved, and the issues related to the insertion of intelligent autonomous objects within an augmented reality simulation.