Incremental Focus of Attention for Robust Vision-Based Tracking
International Journal of Computer Vision
Adaptation by Applying Behavior Routines and Motion Strategies in Autonomous Navigation
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Human Based Perception Model for Cooperative Intelligent Virtual Agents
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Applying perceptually driven cognitive mapping to virtual urban environments
Eighteenth national conference on Artificial intelligence
Visuomotor control in flies and behavior - based agents
Biologically inspired robot behavior engineering
Perceptive agents and systems in virtual reality
Proceedings of the ACM symposium on Virtual reality software and technology
Evolving visually guided agents in an ambiguous virtual world
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Modelling the Sensory Abilities of Intelligent Virtual Agents
Autonomous Agents and Multi-Agent Systems
Presence: Teleoperators and Virtual Environments
A Case-Based Approach to Intelligent Virtual Agent's Interaction Experience Representation
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Applying perceptually driven cognitive mapping to virtual urban environments
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
Motion and color analysis for animat perception
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
If at first you don't succeed...
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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We propose and demonstrate a new paradigm for active vision research that draws upon recent advances in the fields of artificial life and computer graphics. A software alternative to the prevailing hardware vision mindset, animat vision prescribes artificial animals, or animats, situated in physics-based virtual worlds as autonomous virtual robots possessing active perception systems. To be operative in its world, an animat must autonomously control its eyes and muscle-actuated body, applying computer vision algorithms to continuously analyze the retinal image streams acquired by its eyes in order to locomote purposefully through its world. We describe an initial animat vision implementation within lifelike artificial fishes inhabiting a physics-based, virtual marine world. Emulating the appearance, motion, and behavior of real fishes in their natural habitats, these animats are capable of spatially nonuniform retinal imaging, foveation, retinal image stabilization, color object recognition, and perceptually-guided navigation. These capabilities allow them to pursue moving targets such as fellow artificial fishes. Animat vision offers a fertile approach to the development, implementation, and evaluation of computational theories that profess sensorimotor competence for animal or robotic situated agents.