IEEE Transactions on Pattern Analysis and Machine Intelligence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Social Constraints on Animate Vision
IEEE Intelligent Systems
A Context-Dependent Attention System for a Social Robot
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
An Embodied Cognition Approach to Mindreading Skills for Socially Intelligent Robots
International Journal of Robotics Research
Concepts for life-like interactive objects
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
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From as early as 6 months of age, human children distinguish between motion patterns generated by animate objects from patterns generated by moving inanimate objects, even when the only stimulus that the child observes is a single point of light moving against a blank background. The mechanisms by which the animate/inanimate distinction are made are unknown, but have been shown to rely only upon the spatial and temporal properties of the movement. In this paper, I present both a multiagent architecture that performs this classification as well as detailed comparisons of the individual agent contributions against human baselines.