Robust Visual Tracking Based on Relaxed Target Representation


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

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.

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

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML

Declaração de direitos autorais © Pleiades Publishing, Ltd., 2019