Real-Time Visual Tracking with Compact Shape and Color Feature
Real-Time Visual Tracking with Compact Shape and Color Feature
复制标题
具有紧凑形状和颜色特征的实时视觉跟踪
DOI：
10.3970/cmc.2018.02634
复制
发表时间：
2018-06-01
影响因子：
3.1
通讯作者：
Jiang, Haifeng
中科院分区：
文献类型：
--
作者：
Gao, Zhenguo;Xia, Shixiong;Jiang, Haifeng
颜色特征是目标跟踪中常用的特征。跟踪方法提取目标和背景的颜色特征，并通过分类器进行区分。然而，这些现有的方法简单地利用了目标像素的颜色信息，而没有考虑目标的形状特征，因此特征的描述能力较弱。此外，融合形状信息往往会导致较大的特征维度，不利于目标的实时跟踪。近年来，基于深度学习的视觉跟踪方法的出现也大大增加了算法对计算资源的需求。本文提出了一种形状和颜色特征紧凑的实时视觉跟踪方法，通过融合候选目标区域的形状和颜色特征形成低维紧凑的形状和颜色特征，并通过Hash函数对组合特征进行降维。结构分类函数通过动态数据流在线训练和更新，以适应新的框架。此外，利用结构化分类功能对目标进行分类和预测。实验结果表明，在具有挑战性的基准数据集OTB-100和OTB-13上，该跟踪器的性能优于几种最先进的算法。
The colour feature is often used in the object tracking. The tracking methods extract the colour features of the object and the background, and distinguish them by the classifier. However, these existing methods simply use the colour information of the target pixel and does not consider the shape feature of the target, so that the description capability of the feature is weak. Moreover, incorporating shape information often leads to large feature dimension, which is not conducive to real-time object tracking. Recently, the emergence of visual tracking methods based on deep learning has also greatly increased the demand of computing resources for the algorithm. In this paper, we propose a real-time visual tracking method with compact shape and colour feature, which forms low dimensional compact shape and colour feature by fusing the shape and colour characteristics of the candidate object region, and reduces the dimensionality of the combined feature through the Hash function. The structural classification function is trained and updated online with dynamic data flow for adapting to the new frames. Further, the classification and prediction of the object are carried out with structured classification function. The experimental results demonstrate that the proposed tracker performs superiorly against several state-of-the-art algorithms on the challenging benchmark dataset OTB-100 and OTB-13.