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Title |
ViC Model: An Executive Controller of Emotions Based Visual Selective Attention Mechanism for Cognitive Agents |
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Author |
Shehzad Latif and Alishba Latif |
| Citation |
Vol. 25 No. 11 pp. 147-155 |
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Abstract |
Visual attention is the most significant mechanisms of perception that empowers human to efficiently select the visual data of most prominent interest. Machines confront comparable difficulties as human & need to manage a lot of visual information. In the domain of computer vision, efforts have been made in modeling the mechanism of human like attention, especially the bottom-up attention mechanism. The use of attentive methods has pervaded the computer vision literature demonstrating the importance for reducing the amount of information to be processed. Reducing information in a real time is an extremely daunting task without the assistance of smart systems. Many visual attention models are designed for this purpose. Almost all visual attention models are straightforwardly or by implication motivated from the cognitive architecture. Emotions are the most significant component of cognitive architecture which was ignored in these models. Emotionality is associated with a range of psychological phenomena including temperament, personality, mood, and motivation. Emotions can act as an incredibly powerful force to reduce the visual information. So, this research proposes a ViC Model which will act as an Executive Control Mechanism of Emotions Based Visual Selective Attention for Cognitive Agents. This may allow the underlying agent to act more humanly due to its subjective nature of selection of context and attention of the fore-mentioned percepts. |
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Keywords |
Bottom-up attention, Top-down attention, Cognitive Architecture, Long Term Memory, Working Memory and Perception |
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