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http://dx.doi.org/10.9717/kmms.2012.15.8.986

A Histogram-based Object Tracking for Mobile Platform  

Ko, Jae-Pil (금오공과대학교 컴퓨터공학과)
Ahn, Jung-Ho (강남대학교 컴퓨터공학부)
Lee, Il-Young (LG전자)
Kim, Sung-Hyun (LG전자)
Publication Information
Journal of Korea Multimedia Society / v.15, no.8, 2012 , pp. 986-995 More about this Journal
Abstract
In this paper we propose a real-time moving object tracking method on a smart phone camera. By considering the limit of non-learning approach on low-performance platforms, we use the sliding-window detection technique based on histogram features. We solve the problem of the time-consuming histogram computation on each sub-window by adapting the integral histogram. For additional speed and tracking performance, we propose a new adaptive bin method. From the experiments on our dataset, we achieved high speed performance demonstrating 34~63 frames per second.
Keywords
adaptive bin; integral histogram; histogram matching; object detection; object tracking;
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Times Cited By KSCI : 1  (Citation Analysis)
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