Object detection using boosted local binaries

@article{Ren2016ObjectDU,
  title={Object detection using boosted local binaries},
  author={Haoyu Ren and Ze-Nian Li},
  journal={Pattern Recognition},
  year={2016},
  volume={60},
  pages={793-801}
}
This paper presents a novel binary descriptor Boosted Local Binary (BLB) for object detection. The proposed descriptor encodes variable local neighbour regions in different scales and locations. Each region pair of the proposed descriptor is selected by the RealAdaBoost algorithm with a penalty term on the structural diversity. As a result, confident features that are good at describing specific characteristics will be chosen. Moreover, the encoding scheme is applied in the gradient domain in… CONTINUE READING
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