Visual tracking with randomly projected ferns

作者：

Highlights：

• We introduce random projection into random ferns and propose random projection ferns.

• Our approach needs very few memory and computing resources.

• Our approach is simple to implement and runs very fast.

摘要

Highlights•We introduce random projection into random ferns and propose random projection ferns.•Our approach needs very few memory and computing resources.•Our approach is simple to implement and runs very fast.

论文关键词：VOC,visual object classes,RPF,Randomly Projected Ferns,SSVM,structured output support vector machine,RF,random ferns,RIP,restricted isometry property,MIL,multiple instance learning,CT,compressive tracking,OAB,online adaboost,IIR,infinite impulse response,TLD,tracking learning detection,Visual tracking,Random ferns,Random projection,Resource limited

论文评审过程：Received 11 February 2014, Revised 12 May 2014, Accepted 19 June 2014, Available online 28 June 2014.

论文官网地址：https://doi.org/10.1016/j.image.2014.06.009