- This paper presents a three-layer model for generation and recognition of attention-drawing behavior. The model enables a robot to recognize people’s attention-drawing behavior...
In this paper we examine the general problem of generating preferred explanations for observed behavior with respect to a model of the behavior of a dynamical system. This problem...
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlrait...
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Abstract-- As viruses become more complex, existing antivirus methods are inefficient to detect various forms of viruses, especially new variants and unknown viruses. Inspired by i...
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...