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Compound Effects of Top-down and Bottom-up Influences on Visual Attention During Action Recognition

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1458-1462.

Abstract

The limited visual and computational resources available during the perception of a human action makes a visual attention mechanism essential. In this paper we propose an attention mechanism that combines the saliency of top-down (or goaldirected) elements, based on multiple hypotheses about the demonstrated action, with the saliency of bottom-up (or stimulus-driven) components. Furthermore, we use the bottom-up part to initialise the top-down, hence resulting in a selection of the behaviours that rightly require the limited computational resources. This attention mechanism is then combined with an action understanding model and implemented on a robot, where we examine its performance during the observation of object-directed human actions.

Bassam Khadhouri, and Yiannis Demiris. 2005. Compound Effects of Top-down and Bottom-up Influences on Visual Attention During Action Recognition. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1458–1462. https://ijcai.org/proceedings/2005/162
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