Advanced Local Binary Pattern Descriptors for Crowd Estimation

Local binary pattern (LBP) is a powerful texture descriptor that is gray-scale and rotation invariant. In this paper, an extension of the original LBP is proposed. LBP operator is adopted in multi-layer block domain, instead of pixel domain. Meanwhile, feature dimension is effectively reduced by dual-histogram LBP (DH-LBP). Combining merits of the two, we propose the advanced LBP (ALBP) and use that in solving the practical problem of crowd estimation. Experiment results demonstrate the performance and the potential of our method.