Dim target detection and tracking based on empirical mode decomposition

Authors:
Hong Li;Shaohua Xu;Luoqing Li
Affiliations:
Department of Mathematics, Huazhong University of Science and Technology, Wuhan 430074, China;Department of Mathematics, Huazhong University of Science and Technology, Wuhan 430074, China;Faculty of Mathematics and Computer Science, Hubei University, Wuhan 430062, China
Venue:
Image Communication
Year:
2008

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Abstract

Dim target detection and tracking algorithm based on the empirical mode decomposition (EMD) is proposed. EMD is introduced to decompose the original image into a definite number of high frequency and low frequency components by means of sifting. With the EMD algorithm, it is valid to estimate the background and get the dim target by removing the background from the original image. The algorithm detects dim moving target effectively and estimate its trajectory accurately. The data analysis and experiments show that the proposed algorithm is adaptable to real-time target detection and tracking.