Target tracking in infrared imagery using a novel particle filter

Fanglin Wang; Erqi Liu; Jie Yang; Shengyang Yu; Yue Zhou

Chinese Optics Letters, 2009, 7 (7): 07576, Published Online: Jul. 24, 2009

Target tracking in infrared imagery using a novel particle filter

论文大纲

Fanglin Wang ¹Erqi Liu ²Jie Yang ¹Shengyang Yu ¹Yue Zhou ¹

Author Affiliations

¹ Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China

² Institute of the Second Academy, China Aerospace Science and Industry Corporation, Beijing 100854, China

红外目标跟踪显著性模型特征空间模型两步采样 100.0100 Image processing 110.3080 Infrared imaging 150.0150 Machine vision

Abstract

To address two challenging problems in infrared target tracking, target appearance changes and unpredictable abrupt motions, a novel particle filtering based tracking algorithm is introduced. In this method, a novel saliency model is proposed to distinguish the salient target from background, and the eigenspace model is invoked to adapt target appearance changes. To account for the abrupt motions efficiently, a two-step sampling method is proposed to combine the two observation models. The proposed tracking method is demonstrated through two real infrared image sequences, which include the changes of luminance and size, and the drastic abrupt motions of the target.

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Fanglin Wang, Erqi Liu, Jie Yang, Shengyang Yu, Yue Zhou. Target tracking in infrared imagery using a novel particle filter[J]. Chinese Optics Letters, 2009, 7(7): 07576.

Target tracking in infrared imagery using a novel particle filter

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