Object detection using boosted local binaries

作者：

Highlights：

• Propose a new binary descriptor with variable patterns.

• Design a structure-aware framework to balance the discriminative ability and generalization power of the proposed descriptor.

• 5% accuracy improvement compared to traditional binary descriptors.

• Effective for large scale dataset and general object detection task.

摘要

Highlights•Propose a new binary descriptor with variable patterns.•Design a structure-aware framework to balance the discriminative ability and generalization power of the proposed descriptor.•5% accuracy improvement compared to traditional binary descriptors.•Effective for large scale dataset and general object detection task.

论文关键词：Binary descriptor,Boosted Local Binary,Object detection,RealAdaBoost,Structure-aware

论文评审过程：Received 23 October 2014, Revised 4 July 2016, Accepted 4 July 2016, Available online 5 July 2016, Version of Record 20 July 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.010