• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of visual communication & image representation >Robust residual error consistent tracker with ranking mechanism
【24h】

Robust residual error consistent tracker with ranking mechanism

机译：具有排名机制的鲁棒残差一致性跟踪器

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the paper, we propose a novel structural local sparse representation based residual error consistent ranking tracker. In our tracker, candidate targets are linearly combined by using the structural local sparse appearance model. To encourage temporal consistency, a residual error consistency term is designed to constraint the objective function of sparse representation. Based on the objective function, the similarity information is extracted from both coefficients and residual errors of sparse coding. For extracting similarity information from coefficients, the alignment-pooling algorithm is applied to obtain pooled features. For extracting similarity information from residual errors, we develop a residual error score. For different natures of residual error scores and pooled features, a ranking mechanism is proposed to fuse them. The dictionary updating scheme uses the ranking results of the predicted targets to determine which of them are collected for updating. Our tracker performs favorably against 6 state-of-the-art trackers on 18 challenging sequences. (C) 2016 Elsevier Inc. All rights reserved.
机译：在本文中，我们提出了一种基于结构化的局部稀疏表示的残差一致性排序跟踪器。在我们的跟踪器中，使用结构局部稀疏外观模型将候选目标线性组合。为了鼓励时间一致性，设计了一个残差误差一致性项来约束稀疏表示的目标函数。基于目标函数，从稀疏编码的系数和残差中提取相似度信息。为了从系数中提取相似性信息，将对齐池算法应用于获得合并特征。为了从残差中提取相似性信息，我们开发了残差评分。对于残余错误分数和合并特征的不同性质，提出了一种将它们融合的排序机制。词典更新方案使用预测目标的排名结果来确定收集了哪些目标进行更新。我们的追踪器在18个具有挑战性的序列中，与6个最新的追踪器相比表现出色。 （C）2016 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号