Robust Visual Tracking Based on Relaxed Target Representation
- Autores: Wang Y.1,2
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Afiliações:
- Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology
- School of Information Engineering, Nanchang Institute of Technology
- Edição: Volume 29, Nº 3 (2019)
- Páginas: 415-424
- Seção: Representation, Processing, Analysis, and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/195634
- DOI: https://doi.org/10.1134/S1054661819030210
- ID: 195634
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Resumo
Developing an effective target appearance model is a challenging task in visual tracking under the influences of complicated appearance variations. Many tracking algorithms use a linear combination of previous tracking results to represent a target candidate. In existing target representations, all of the feature elements of a target candidate have the same coding vector. With such type of target representations, robust tracking is not satisfactory when drastic appearance variations occur. In this work, we present a novel appearance model for visual tracking. The proposed appearance model considers the similarity and the distinctiveness of the feature elements of a target candidate. The feature elements should share some similarity to jointly represent a target pattern. We exploit the distinctiveness of feature elements to represent the different importance by introducing a weighted regularization term in the appearance model. A more stable and discriminative target representation is obtained. Superior performance on challenging sequences against state-of-the-art trackers show the robustness of the novel appearance model and the proposed tracker.
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Sobre autores
Yuanyun Wang
Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang Institute of Technology; School of Information Engineering, Nanchang Institute of Technology
Autor responsável pela correspondência
Email: wangyy_abc@163.com
República Popular da China, Nanchang, 330099; Nanchang, 330099
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