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http://dx.doi.org/10.9708/jksci/2012.17.10.043

Object Detection Using Predefined Gesture and Tracking  

Bae, Dae-Hee (Dept. of Computer Engineering, Kwangwoon University)
Yi, Joon-Hwan (Dept. of Computer Engineering, Kwangwoon University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.10, 2012 , pp. 43-53 More about this Journal
Abstract
In the this paper, a gesture-based user interface based on object detection using predefined gesture and the tracking of the detected object is proposed. For object detection, moving objects in a frame are computed by comparing multiple previous frames and predefined gesture is used to detect the target object among those moving objects. Any object with the predefined gesture can be used to control. We also propose an object tracking algorithm, namely density based meanshift algorithm, that uses color distribution of the target objects. The proposed object tracking algorithm tracks a target object crossing the background with a similar color more accurately than existing techniques. Experimental results show that the proposed object detection and tracking algorithms achieve higher detection capability with less computational complexity.
Keywords
HCI; moving object segmentation; hand tracking; gesture recognition; predefined gesture;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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