Abstract
In this paper, we present a new perspective on object tracking based on Bayesian Ying-Yang learning theory and five action circling. During the tracking procedure, the A5 circling must be kept well balanced. Each action should be neither too weak to sustain the system nor too loaded to jam the circling. For object tracking, the A5 paradigm is explained as follow: i) object acquirement and initialization; ii) object representation and description; iii) hypothesis measurement; iv) optimization and estimation; v) object assessment and location. Our extensive experiments show that the proposed novel framework performs robustly in a large variety of image sequences. Additional, a new insight is given on the Bayesian Ying-Yang system, best harmony learning, and five action circling theory from a perspective of object tracking system.
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Wang, Z., Liu, P. (2012). A New Perspective on Object Tracking Based on BYY and Five Action Circling. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_52
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DOI: https://doi.org/10.1007/978-3-642-31919-8_52
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