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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11778

Title: A hierarchical estimator for object tracking
Authors: Chung, Yi-Nung;Wu, C.-W.;Chung, P.-C.
Contributors: 電機工程學系
Date: 2010
Issue Date: 2012-07-02T02:08:23Z
Publisher: Hindawi Publishing Corporation
Abstract: A closed-loop local-global integrated hierarchical estimator (CLGIHE) approach for object tracking using multiple cameras is proposed. The Kalman filter is used in both the local and global estimates. In contrast to existing approaches where the local and global estimations are performed independently, the proposed approach combines local and global estimates into one for mutual compensation. Consequently, the Kalman-filter-based data fusion optimally adjusts the fusion gain based on environment conditions derived from each local estimator. The global estimation outputs are included in the local estimation process. Closed-loop mutual compensation between the local and global estimations is thus achieved to obtain higher tracking accuracy. A set of image sequences from multiple views are applied to evaluate performance. Computer simulation and experimental results indicate that the proposed approach successfully tracks objects.
Relation: Eurasip Journal on Advances in Signal Processing, 2010: 592960
Appears in Collections:[電機工程學系] 期刊論文

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