Knowledge Commons of Institute of Automation,CAS
Visual Tracking via Spatially Aligned Correlation Filters Network | |
Zhang, Mengdan1; Wang, Qiang1; Xing, Junliang1; Gao, Jin1; Peng, Peixi1; Hu, Weiming1; Maybank, Steve2 | |
2018 | |
会议名称 | 15th European Conference on Computer Vision, ECCV 2018 |
会议日期 | September 8, 2018 - September 14, 2018 |
会议地点 | Munich, Germany |
摘要 | Correlation filters based trackers rely on a periodic assumption of the search sample to efficiently distinguish the target from the background. This assumption however yields undesired boundary effects and restricts aspect ratios of search samples. To handle these issues, an end-to-end deep architecture is proposed to incorporate geometric transformations into a correlation filters based network. This architecture introduces a novel spatial alignmentmodule, which provides continuous feedback for transforming the target from the border to the center with a normalized aspect ratio. It enables correlation filters to work on well-aligned samples for better tracking. The whole architecture not only learns a generic relationship between object geometric transformations and object appearances, but also learns robust representations coupled to correlation filters in case of various geometric transformations. This lightweight architecture permits real-time speed. Experiments show our tracker effectively handles boundary effects and aspect ratio variations, achieving state-of-the-art tracking results on recent benchmarks. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 目标检测、跟踪与识别 |
国重实验室规划方向分类 | 实体人工智能系统感认知 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57504 |
专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
作者单位 | 1.CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China 2.Birkbeck College, University of London, London, United Kingdom |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zhang, Mengdan,Wang, Qiang,Xing, Junliang,et al. Visual Tracking via Spatially Aligned Correlation Filters Network[C],2018. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
mengdan_zhang_Visual(1118KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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