Supplementary Material for Hierarchical Gaussian Descriptor for Person Re Identification
In section 4.2 of the paper, we compared the distribution modeling of GOG to other distributions. Below, we describe the details of the compared methods. The Mean, Cov and Gauss are global distribution descriptors of pixel features within each region. The Cov ofCov, Cov of Gauss and GOG are hierarchical distribution descriptors. The Cov of Cov uses covariance matrix in both patch and region modeling. The Cov of Gauss uses Gaussian for patch modeling and covariance matrix for region modeling. For a fair comparison to GOG which is incorporated with patch weights, we adopted the weighted pooling for all descriptors. Formally, Mean: m' 1 iG wi iG wif i, Cov: S' 1 iG wi iG wi(f i m'(f i m')T Gauss: P |S' 1 d+1 S' m'm'T m' m'T 1