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http://dx.doi.org/10.5909/JBE.2016.21.5.782

Realtime Human Object Segmentation Using Image and Skeleton Characteristics  

Kim, Minjoon (Kyung Hee University)
Lee, Zucheul (KT Fusion Technology Institute)
Kim, Wonha (Kyung Hee University)
Publication Information
Journal of Broadcast Engineering / v.21, no.5, 2016 , pp. 782-791 More about this Journal
Abstract
The object segmentation algorithm from the background could be used for object recognition and tracking, and many applications. To segment objects, this paper proposes a method that refer to several initial frames with real-time processing at fixed camera. First we suggest the probability model to segment object and background and we enhance the performance of algorithm analyzing the color consistency and focus characteristic of camera for several initial frames. We compensate the segmentation result by using human skeleton characteristic among extracted objects. Last the proposed method has the applicability for various mobile application as we minimize computing complexity for real-time video processing.
Keywords
segmentation; camera; human; composite;
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Times Cited By KSCI : 1  (Citation Analysis)
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