Abstract
It is amazing that human beings can attend to the interest from a simple glimpse of scenes. Similarly, it is also important for social robots to determine its attention autonomously so as to behave human-likely and naturally. In this paper, we propose a technique to model this biological ability by searching saliency regions in a fast and reliable way. The salient regions are detected based on information entropy and biological color sensitivity. The information entropy evaluates the level of knowledge and energy contained, and the color sensitivity measures the biological stimulation to eyes of the presented scene. The performance of the detector is studied on natural scenes. The experiments proved the effectiveness of the detector and the important properties of invariance to transformation and illumination.
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He, H., Zhang, Z., Ge, S.S. (2010). Attention Determination for Social Robots Using Salient Region Detection. In: Ge, S.S., Li, H., Cabibihan, JJ., Tan, Y.K. (eds) Social Robotics. ICSR 2010. Lecture Notes in Computer Science(), vol 6414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17248-9_31
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DOI: https://doi.org/10.1007/978-3-642-17248-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17247-2
Online ISBN: 978-3-642-17248-9
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