...
机译:超越外观模型:学习外观变化以进行对象跟踪
Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100190, Peoples R China|Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China|Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China;
Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100190, Peoples R China|Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China|Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China;
Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100190, Peoples R China;
Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100190, Peoples R China|Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China|Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China;
Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Peoples R China;
Object tracking; Appearance model; Appearance prediction;
机译:在线学习和方向外观模型的融合,以实现强大的刚性对象跟踪
机译:使用基于置信度得分的外观模型学习和分层数据关联进行在线多对象跟踪
机译:在线多对象跟踪使用基于置信度分数的外观模型学习和分层数据关联
机译:在线对象跟踪的外观模型深入学习
机译:通过直接图像对齐和基于局部外观的特征匹配来跟踪三维刚性物体。
机译:使用基于稀疏PCA的外观表示和在线学习进行视觉对象跟踪
机译:在线学习和方向外观模型的融合,以实现强大的刚性对象跟踪