Proposal color-histogram aware network

Jianhao Tan, S. Tan, Liming Liu, Siyuan Zhang, Yaonan Wang
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Abstract

Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These research and breakthroughs have made many improvements to solve problems such as drift, lighting, deformation and occlusion. In this paper, we use convolutional network to characterize the feature, and color features. Specifically, it contains region proposal network which including the classification branch and regression branch.
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建议颜色直方图感知网络
视觉目标跟踪是近年来人们关注的一个话题,许多跟踪器在各个领域都取得了良好的效果。这些研究和突破为解决诸如漂移、光照、变形和遮挡等问题做出了许多改进。在本文中,我们使用卷积网络来表征特征,以及颜色特征。具体来说,它包含包含分类分支和回归分支的区域建议网络。
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