Author Affiliations
Abstract
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
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.
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 Chinese Optics Letters
2009, 7(7): 07576