Spatial–temporal adaptive feature weighted correlation filter for visual tracking
作者: Fei DuPeng LiuWei ZhaoXianglong Tang
作者单位: 1School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
刊名: Signal Processing: Image Communication, 2018, Vol.67 , pp.58-70
来源数据库: Elsevier Journal
DOI: 10.1016/j.image.2018.05.013
关键词: Spatial–temporal adaptationAdaptive feature weightsCorrelation filter trackingHistogram model
原始语种摘要: Abstract(#br)In recent years, the discriminative correlation filter (DCF) tracking method has attracted considerable attention for its promising results and high efficiency. However, it introduces unexpected background information and is susceptible to distractors, owing to the larger training patches it uses. This paper proposes a correlation filter-based visual tracking approach that integrates spatial–temporal adaptive feature weights into the DCF method to derive an efficient solution. The feature weights, which are adaptively adjusted according to the target likelihood and prior knowledge, effectively enhance the target and suppress the background. The correlation filter in our formulation is learned based on weighted features. By assigning small weights to the background and large...
全文获取路径: Elsevier  (合作)
影响因子:1.286 (2012)

  • feature 结构元件
  • temporal 现世的
  • tracking 跟踪
  • visual 可见
  • filter 过滤机
  • weighted 加权
  • adaptive 适应的
  • tracker 跟踪装置
  • discriminative 有辨别力的
  • background 背景