文章基本信息

标题：TRACKING OBJECT USING EXPONENTIAL FORGETTING FACTOR IN THE LBP CODE
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作者：HANANE. RAMI ; MOHAMMED. HAMRI ; LHOUSSINE. MASMOUDI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：63
期号：3
出版社：Journal of Theoretical and Applied
摘要：In this paper we present a method for objects tracking in images sequence. This approach is achieved into two main steps. In the first one, we use the Exponential Forgetting Factor in the calculation of Local Binary Pattern to tracking the motif in a sequence of images. In the second one, we perform the algorithm by the pattern selected based on a distance measure to find similarity between two histograms, for this goal we work with The Chi-Square distance. For evaluation the algorithm tracking results we use the cumulative Euclidean distance from the pixel position for each images. The proposed approach has been tested on synthetic and real sequence images and the results are satisfactory.
关键词：Computer vision; Sequence image; Tracking; LBP; Exponential Forgetting Factor (EFF); Chi-Square distance.