基于卷积神经网络的视觉跟踪研究进展

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI:10.1109/COMPCOMM.2016.7924746

Jia Zhang, Lei Yang, Xiaoyu Wu

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引用次数: 4

摘要

本文总结了13种经典的视觉跟踪方法和9种与卷积神经网络结合的方法，其中包括一些最新的跟踪器，并在同一基准下对所有这些跟踪器进行了比较。在分析结果后，我们对现有的跟踪器有了一些新的想法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A survey on visual tracking via convolutional neural networks

The paper summarized 13 classic methods of visual tracking and 9 methods combined with convolutional neural networks including some latest trackers and compared all these trackers in the same benchmark. After analyzing the results, we had some new idea for existing trackers.

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2016 2nd IEEE International Conference on Computer and Communications (ICCC)

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