Resultados de Reidentificação de Pessoa

Esta página mostra resultados encontrados na literatura para vários conjuntos de dados de identificação de pessoas (classificar por rank-1 CMC). Se você gostaria de ter seus resultados publicados adicionados nas tabelas a seguir, envie um e-mail para Raphael Prates com o link (ou o pdf) para o seu trabalho e os resultados a serem relatados. Até agora, tabulamos os resultados para os seguintes conjuntos de dados.

  1. VIPeR dataset
  2. PRID 450S dataset
  3. CUHK 01 dataset
  4. ETHZ dataset (sequences #1, #2 and #3)
  5. iLIDS-VID dataset
  6. PRID-2011

Code Nós publicamos os códigos que implementados nos nossos trabalhos (veja a lista abaixo). Uma breve descrição, curvas CMC e o link para download estão disponíveis nos links a seguir.

Nossos códigos

Dataset VIPeR 

 

Métodor = 1r = 5r = 10r = 20r = 30Ano
SCSP [38]53.582.691.596.62016
Kernel X-CRC [48]51.680.889.495.397.42016
FNN [35]51.181.091.496.92016
Cheng et al. [43]47.874.784.891.194.32016
LSSL [50]47.877.987.694.22016
Paisitkriangkrai et al. [2]44.976.388.294.92015
Chen et al. [3]43.075.287.394.82015
LSSCDL [39]42.784.391.92016
Zhang et al. [36]42.371.582.992.12016
NLML[41]42.371.085.294.22016
Shi et al. [4]41.671.986.295.12015
DRML [46]41.179.191.32016
MED_VL [49]41.171.783.291.72016
Ding et al. [5]40.560.870.484.490.92015
WARCA [40]40.268.280.791.12016
Liao et al. [6]40.068.080.591.195.52015
Kernel HPCA [44]39.473.085.193.596.12016
ECM [7]38.967.878.488.92015
Xiao et al. [37]38.62016
Deep Ranking [34]38.469.281.390.494.12016
Chen et al. [8]38.469.281.390.42015
SCNCD [9]37.868.581.290.494.22014
Yang et al. [10]37.668.190.294.02014
MKML [47]37.069.980.790.12016
RLML [11]35.367.481.690.82015
Ye et al. [12]35.062.972.082.52015
Shen et al. [13]34.868.782.391.894.92015
Ahmed et al. [14]34.863.575.080.02015
DRML [15]34.278.890.22015
Li et al. [16]34.064.277.588.62015
X-KPLS [45]33.167.781.090.894.22016
Prates and Schwartz [17]32.962.378.787.891.62015
Xiong et al. [18]32.365.879.790.92014
CBRA* [1]31.260.874.385.991.22015
Zeng et al. [19]31.256.070.082.086.52015
Ma et al. [20]31.158.370.782.489.92014
Zhao et al.[21]30.152.365.82013
LADF [22]30.064.080.092.096.52013
Zhang et al. [23]29.862.573.52014
Wang et al. [42]29.159.274.483.82016
Mid-Level Filters [24]29.152.565.979.92014
Region-based Salience [25]28.550.664.676.32015
Yi et al. [26]28.259.373.486.492.32014
KISSME [27]27.055.070.083.089.52012
Zhao et al. [28]26.750.762.476.42013
LDFV [29]26.556.470.984.62012
Leng et al. [30]23.853.270.284.090.42015
EIML [31]22.047.563.078.087.02014
SDALF [32]19.940.049.465.775.62010
PRDC [33]15.738.453.970.02011
VIPeR (p=316) – top ranked CMC results (in %)

(*) Lamentamos informar que nossos resultados anteriores apresentam um erro no código. Atualizamos os resultados e o código (incluímos a extração de recursos).

[1] Raphael Prates, William R. Schwartz, “CBRA – Color-Based Ranking Aggregation for Person Re-Identification,” in IEEE ICIP, 2015.

[2] Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel,  “Learning to rank in person re-identification with metric ensembles,” in IEEE CVPR, 2015.

[3] Ying-Cong Chen, Wei-Shi Zheng, Jianhuang Lai,  “Mirror Representation for Modeling View-Specific Transform in Person Re-Identification,” In IJCAI – International Joint Conference on Artificial Intelligence, 2015.

[4] Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang, “Transferring a Semantic Representation for Person Re-Identification and Search,” in IEEE CVPR 2015.

[5] Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao, “Deep feature learning with relative distance comparison for person re-identification.” Pattern Recognition, Volume 48, Issue 10, October 2015, Pages 2993-300.

[6]  Shengcai Liao, Yang Hu, Xiangyu Zhu, and Stan Z. Li. “Person Re-identification by Local Maximal Occurrence Representation and Metric Learning.” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

[7] Xiaokai Liu, Hongyu Wang, Yi Wu, Jimei Yang, and MingHsuan Yang, “An ensemble color model for human reidentification,” in IEEE Winter Conference on Applications of Computer Vision, 2015.

[8]  Shi-Zhe Chen, Chun-Chao Guo, Jian-Huang Lai. Deep Ranking for Person Re-identification via Joint Representation Learning. arXiv, 2015.

[9]  Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, and Stan Z Li, “Salient color names for person reidentification,” in ECCV, pp. 536–551. 2014.

[10]  Yang Yang, Shengcai Liao, Zhen Lei, Dong Yi, and Stan Z. Li, “Color models and weighted covariance estimation for person re-identification,” in IAPR ICPR, Aug 2014, pp. 1874–1879.

[11] Venice Erin Liong, Jiwen Lu, Yongxin Ge, “Regularized local metric learning for person re-identification.” Pattern Recognition Letters, 2015.

[12] Mang Ye, Jun Chen, Qingming Leng, Chao Liang, Zheng Wang, and Kaimin Sun, “Coupled-view based ranking optimization for person re-identification.” 21st International Conference on Multimedia Modelling, MMM 2015.

[13] Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, “Person Re-identification with Correspondence Structure Learning.” IEEE International Conference on Computer Vision (ICCV), 2015.

[14] Ejaz Ahmed, Michael Jones, Tim K. Marks. ” An Improved Deep Learning Architecture for Person Re-Identification.” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 3908-3916.

[15]  Liong, V.E.,Yongxin Ge, Jiwen Lu, “Discriminative regularized metric learning for person re-identification,” inInternational Conference on Biometrics (ICB), 2015.

[16]  Sheng Li, Ming Shao, Yun Fu. Cross-View Projective Dictionary Learning for Person Re-identification. In IJCAI – International Joint Conference on Artificial Intelligence, 2015.

[17]  Raphael Prates, William R. Schwartz, “Appearance-Based Person Re-identification by Intra-Camera Discriminative Models and Rank Aggregation,” in International Conference on Biometrics (ICB), 2015.

[18]  Fei Xiong, Mengran Gou, Octavia Camps, Mario Sznaier, “Person Re-Identification using Kernel-based Metric Learning Methods,” in ECCV 2014.

[19] Mingyong Zeng, Zemin Wu, Chang Tian, Lei Zhang, Lei Hu. “Efficient Person Re-identification by Hybrid Spatiogram and Covariance Descriptor.” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015, pp. 48-56.

[20]  Bingpeng Ma, Yu Su, Frédéric Jurie. “Covariance descriptor based on bio-inspired features for person re-identification and face verification.” Image and Vision Computing, Volume 32, Issues 6–7, June–July 2014, Pages 379-390.

[21]  Rui Zhao, Wanli Ouyang and Xiaogang Wang. “Person re-identification by salience matching.”  IEEE International Conference on Computer Vision (ICCV), 2013.

[22]  Zhen Li, Shiyu Chang, Feng Liang, Huang, T.S., Liangliang Cao and Smith, J.R. “Learning Locally-Adaptive Decision Functions for Person Verification.” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

[23]  Ziming Zhang , Yuting Chen, Venkatesh Saligrama. A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV 2014.

[24]  Rui Zhao, Wanli Ouyang, Xiaogang Wang. Learning Mid-level Filters for Person Re-identification. CVPR 2014.

[25]  Yanbing Geng, Hai-Miao Hu, Guodong Zeng, Jin Zheng. “A person re-identification algorithm by exploiting region-based feature salience.” Journal of Visual Communication and Image Representation, Volume 29, May 2015, Pages 89-102.

[26]  Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li, “Deep Metric Learning for Person Re-identification“. International Conference on Pattern Recognition (ICPR), 2014, pp. 34-39.

[27] Martin Koestinger, Martin Hirzer, Paul Wohlhart, Peter M. Roth, and Horst Bischof, “Large scale metric learning from equivalence constraints,” in IEEE CVPR, 2012.

[28] Rui Zhao, Wanli Ouyang, Xiaogang Wang. “Unsupervised Salience Learning for Person Re-identification,” in IEEE CVPR, 2013.

[29] Bingpeng Ma, Yu Su, Frédéric Jurie. “Local Descriptors encoded by Fisher Vectors for Person Re-identification,” in ECCV Workshops and Demonstrations, 2012.

[30] Qingming Leng, Ruimin Hu, Chao Liang, Yimin Wang, Jun Chen, “Person re-identification with content and context re-ranking .” Multimedia Tools and Applications,Volume 74, Issue 17, pp 6989-7014.

[31] M. Hirzer, P.M. Roth, and H. Bischof, “Person re-identification by efficient impostor-based metric learning,” in IEEE AVSS, Sept 2012, pp. 203–208.

[32]  Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M. Person Re-Identification by Symmetry-Driven Accumulation of Local Features. CVPR 2010.

[33]  Wei-Shi Zheng, Shaogang Gong, Tao Xiang. “Person re-identification by probabilistic relative distance comparison,” in Computer Vision and Pattern Recognition (CVPR), 2011.

[34] Chen, Shi-Zhe, Chun-Chao Guo, and Jian-Huang Lai. “Deep Ranking for Person Re-identification via Joint Representation Learning ” in Transactions on Image Processing (TIP) 2016

[35] Wu, S., Chen, Y. C., Li, X., Wu, A. C., You, J. J., & Zheng, W. S. “An enhanced deep feature representation for person re-identification ” in IEEE WACV 2016

[36] Zhang, Li., Xiang, T., Gong, S.“Learning a Discriminative Null Space for Person Re-identification ” in CVPR 2016

[37] Xiao, T., Li, H., Ouyang, W. and Wang, X. “Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification” in CVPR 2016

[38] Dapeng Chen, Zejian Yuan, Badong Chen, Nanning Zheng. “Similarity Learning with Spatial Constraints for Person Re-identification ” in CVPR 2016

[39] Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie and Xiang Ruan “Sample-Specific SVM Learning for Person Re-identification ” in CVPR 2016

[40] Cijo Jose and François Fleuret. “Scalable Metric Learning viaWeighted Approximate Rank Component Analysis ” in CVPR 2016

[41] Siyuan Huang, Jiwen Lu, Jie Zhou, Anil K. Jain. “Nonlinear Local Metric Learning for Person Re-identification ” in CVPR 2016

[42] Wei Wang, Ali Taalimi, Kun Duan, Rui Guo and Hairong Qi. “Learning Patch-Dependent Kernel Forest for Person Re-Identification ” in WACV 2016

[43] De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng. “Person Re-Identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function ” in CVPR 2016

[44] Raphael Prates and William Robson Schwartz. “Kernel Hierarchical PCA for Person Re-Identification” in ICPR 2016

[45] Raphael Prates, Marina Oliveira and William Robson Schwartz. “Kernel Partial Least Squares for Person Re-Identification” in AVSS 2016

[46] Wenbin Yao, Zhenyu Weng, Yuesheng Zhu. ” Diversity Regularized Metric Learning For Person Re-Identification ” in ICIP 2016

[47] Muhammad Adnan Syed, Jianbin Jiao ” Multi-Kernel Metric Learning For Person Re-Identification ” in ICIP 2016

[48] Raphael Prates and William Robson Schwartz ” Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification ” in Arxiv 2016

[49] Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li ” Association for the Advancement of Artificial Intelligence ” AAAI 2016

[50] Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li ” Large Scale Similarity Learning Using Similar Pairs for Person Verification ” AAAI 2016

Dataset PRID 450S

 

MétodoRank 1Rank 5Rank 10Rank 20Rank 30Ano
Kernel X-CRC [16]68.891.295.998.499.02016
FFN [10]66.686.892.896.92016
LSSCDL[11]60.588.693.62016
DRML [15]56.482.290.22016
Chen et al. [2]55.479.387.893.92015
X-KPLS [13]52.882.190.095.497.32016
Kernel HPCA [14]52.880.989.095.197.22016
MED_VL [17]45.973.082.991.12016
Shi et al. [3]44.971.777.586.72015
Shen et al. [4]44.471.682.289.893.32015
ECM [5]41.966.376.984.92015
SCNCD [7]41.668.979.487.895.42014
Yang et al. [6]40.680.790.092.42014
EIML [8]35.058.568.077.083.02012
KISSME [9]33.059.871.079.084.52012
CBRA* [1]26.457.171.083.288.82015
WARCA [12]24.655.52016
PRID 450S (p=225) – top ranked CMC results (in %)

(*) Lamentamos informar que nossos resultados anteriores apresentam um erro no código. Atualizamos os resultados e o código (incluímos a extração de recursos).

[1] Raphael Prates, William R. Schwartz, “CBRA – Color-Based Ranking Aggregation for Person Re-Identification,” in IEEE ICIP, 2015.

[2] Ying-Cong Chen, Wei-Shi Zheng, Jianhuang Lai,  “Mirror Representation for Modeling View-Specific Transform in Person Re-Identification,” In IJCAI – International Joint Conference on Artificial Intelligence, 2015.

[3] Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang, “Transferring a Semantic Representation for Person Re-Identification and Search,” in IEEE CVPR 2015.

[4] Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, “Person Re-identification with Correspondence Structure Learning.” IEEE International Conference on Computer Vision (ICCV), 2015.

[5] Xiaokai Liu, Hongyu Wang, Yi Wu, Jimei Yang, and MingHsuan Yang, “An ensemble color model for human reidentification,” IEEE Winter Conference on Applications of Computer Vision, 2015.

[6] Yang Yang, Shengcai Liao, Zhen Lei, Dong Yi, and Stan Z. Li, “Color models and weighted covariance estimation for person re-identification,” in IAPR ICPR, Aug 2014, pp. 1874–1879.

[7] Yang Yang, Jimei Yang, Junjie Yan, Shengcai Liao, Dong Yi, and Stan Z Li, “Salient color names for person reidentification,” in ECCV, pp. 536–551. 2014.

[8] M. Hirzer, P.M. Roth, and H. Bischof, “Person re-identification by efficient impostor-based metric learning,” in IEEE AVSS, Sept 2012, pp. 203–208.

[9] Martin Koestinger, Martin Hirzer, Paul Wohlhart, Peter M. Roth, and Horst Bischof, “Large scale metric learning from equivalence constraints,” in IEEE CVPR, 2012.

[10] Wu, S., Chen, Y. C., Li, X., Wu, A. C., You, J. J., & Zheng, W. S. An enhanced deep feature representation for person re-identification ” in IEEE WACV 2016

[11] Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie and Xiang Ruan Sample-Specific SVM Learning for Person Re-identification ” in CVPR 2016

[12] Cijo Jose and François Fleuret. Scalable Metric Learning viaWeighted Approximate Rank Component Analysis ” in CVPR 2016

[13] Raphael Prates and William Robson Schwartz.  ” Kernel Hierarchical PCA for Person Re-Identification ” in ICPR 2016

[14] Raphael Prates, Marina Oliveira and William Robson Schwartz. ” Kernel Partial Least Squares for Person Re-Identification ” in AVSS 2016

[15] Wenbin Yao, Zhenyu Weng, Yuesheng Zhu. “Diversity Regularized Metric Learning For Person Re-Identification ” in ICIP 2016

[16] Raphael Prates and William Robson Schwartz  “Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification ” in Arxiv 2016

[17] Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li “Association for the Advancement of Artificial Intelligence ” AAAI 2016

Dataset CUHK 01

MétodoRank 1Rank 5Rank 10Rank 20Rank 30Ano
Xiao et al. [15]66.62016
LSSCDL [16]66.02016
WARCA [17]65.685.390.595.02016
Kernel X-CRC [20]61.280.987.393.295.62016
Li et al. [2]59.581.389.793.12015
Cheng et al. [18]53.784.391.096.398.32016
Paisitkriangkrai et al. [3]51.975.183.089.42015
Chen et al. [7]50.475.984.091.32015
Ahmed et al. [1]47.571.080.02015
Chen et al. [4]40.464.675.384.12015
Mid-Level Filters [9]34.355.165.074.980.32014
Zhao et al. [10]28.445.855.767.974.92013
Li et al. [8]20.043.556.069.377.32012
SDALF [11]9.922.630.341.02010
CUHK 01 (p=486 M=1) – top ranked CMC results (in %)

(*) Esses métodos usaram um protocolo de avaliação individual. Eles selecionaram aleatoriamente uma das imagens de teste para classificar a galeria.

MethodRank 1Rank 5Rank 10Rank 20Rank 30year
Zhang et al. [14]65.085.089.994.42016
Liao et al. [5]63.284.090.093.796.02015
FFN [13]55.578.483.792.62016
Deep Ranking [12]50.475.984.191.399.32016
Zhang et al. [6]44.070.480.02014
MKML [19]31.257.970.781.42016
CUHK 01 (p=486 M=2) – top ranked CMC results (in %)

(*) Esses métodos usaram um protocolo de avaliação multi-shot. Eles empregaram as duas imagens de teste disponíveis para calcular as pontuações e classificar as imagens da galeria.

[1] Ejaz Ahmed, Michael Jones, Tim K. Marks. An Improved Deep Learning Architecture for Person Re-Identification. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 3908-3916.

[2]  Sheng Li, Ming Shao, Yun Fu. Cross-View Projective Dictionary Learning for Person Re-identification. In IJCAI – International Joint Conference on Artificial Intelligence, 2015.

[3] Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel. Learning to rank in person re-identification with metric ensembles. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

[4]  Ying-Cong Chen, Wei-Shi Zheng, Jianhuang Lai. Mirror Representation for Modeling View-Specific Transform in Person Re-Identification.  In IJCAI – International Joint Conference on Artificial Intelligence, 2015.

[5]  Shengcai Liao, Yang Hu, Xiangyu Zhu, and Stan Z. Li. Person Re-identification by Local Maximal Occurrence Representation and Metric Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

[6]  Ziming Zhang, Yuting Chen, Venkatesh Saligrama. A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV 2014.

[7]  Shi-Zhe Chen, Chun-Chao Guo, Jian-Huang Lai. Deep Ranking for Person Re-identification via Joint Representation Learning. arXiv, 2015.

[8]  Wei Li, Rui Zhao, Xiaogang Wang. Human Reidentification with Transferred Metric Learning. ACCV 2012.

[9]  Rui Zhao, Wanli Ouyang, Xiaogang Wang. Learning Mid-level Filters for Person Re-identification. CVPR 2014.

[10]  Rui Zhao, Wanli Ouyang, Xiaogang Wang. Person re-identification by salience matching. ICCV 2013.

[11]  Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M. Person Re-Identification by Symmetry-Driven Accumulation of Local Features. CVPR 2010.

[12] Chen, Shi-Zhe, Chun-Chao Guo, and Jian-Huang Lai. Deep Ranking for Person Re-identification via Joint Representation Learning ” in Transactions on Image Processing (TIP) 2016

[13] Wu, S., Chen, Y. C., Li, X., Wu, A. C., You, J. J., & Zheng, W. S. An enhanced deep feature representation for person re-identification ” in IEEE WACV 2016

[14] Zhang, Li., Xiang, T., Gong, S.Learning a Discriminative Null Space for Person Re-identification ” in CVPR 2016

[15] Xiao, T., Li, H., Ouyang, W. and Wang, X. Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification” in CVPR 2016

[16] Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie and Xiang Ruan Sample-Specific SVM Learning for Person Re-identification ” in CVPR 2016

[17] Cijo Jose and François Fleuret. Scalable Metric Learning viaWeighted Approximate Rank Component Analysis ” in CVPR 2016

[18] De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng. “Person Re-Identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function ” in CVPR 2016

[19] Muhammad Adnan Syed, Jianbin Jiao ” Multi-Kernel Metric Learning For Person Re-Identification ” in ICIP 2016

[20] Raphael Prates and William Robson Schwartz ” Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification ” in Arxiv 2016

Dataset ETHZ (Seq. #1)

MétodoRank 1Rank 2Rank 3Rank 4Rank 5Ano
Martinel et al. [1]84.088.091.093.094.02015
Ma et al. [2]83.087.090.091.092.02012
Zhao et al. [3]81.086.089.090.092.02013
Schwartz & Davis [4]79.085.086.087.088.02009
Martinel & Micheloni [5]78.083.087.088.089.02014
Hirzer et al. [6]78.084.087.089.090.02014
Hirzer et al. [7]77.083.087.090.091.02012
Ma et al. [8]74.080.083.085.087.02012
Avraham et al. [9]68.076.082.086.087.02012
SDALF [10]65.073.077.079.081.02010
ETHZ (seq #1) – top ranked CMC results (in %)

Dataset ETHZ (Seq. #2)

MétodoRank 1Rank 2Rank 3Rank 4Rank 5Ano
Martinel et al. [1]81.086.090.093.095.02015
Zhao et al. [3]79.084.087.090.091.02013
Ma et al. [2]79.084.087.090.091.02012
Martinel & Micheloni [5]77.082.085.086.087.02014
Hirzer et al. [6]74.081.084.087.089.02014
Schwartz & Davis [4]74.079.081.083.084.02009
Ma et al. [8]71.079.083.086.088.02012
Avraham et al. [9]70.082.089.091.093.02012
Hirzer et al. [7]65.077.081.082.086.02012
SDALF [10]64.074.079.083.085.02010
ETHZ (seq #2) – top ranked CMC results (in %)

Dataset ETHZ (Seq. #3)

MétodoRank 1Rank 2Rank 3Rank 4Rank 5Ano
Martinel et al. [1]91.097.099.099.099.02015
Hirzer et al. [6]91.095.097.098.098.02014
Ma et al. [2]91.094.096.097.097.02012
Avraham et al. [9]91.094.096.097.097.02012
Zhao et al. [3]90.095.096.097.098.02013
Hirzer et al. [7]83.090.092.094.096.02012
Ma et al. [8]82.087.090.092.093.02012
Martinel & Micheloni [5]81.085.089.093.094.02014
Schwartz & Davis [4]77.081.082.084.085.02009
SDALF [10]76.083.086.088.090.02010

[1]  Martinel, N., Das, A. , Micheloni, C., Roy-Chowdhury, A.K. Re-Identification in the Function Space of Feature Warps. PAMI, 2015.

[2]  Bingpeng Ma, Yu Su, Frédéric Jurie. Local Descriptors Encoded by Fisher Vectors for Person Re-identification. ECCV 2012.

[3]  Rui Zhao, Wanli Ouyang, Xiaogang Wang. Unsupervised Salience Learning for Person Re-identification. CVPR 2013.

[4]  Schwartz, W.R., Davis, L.S. Learning discriminative appearance-based models using partial least squares. SIBGRAPi 2009.

[5]  Niki Martinel, Christian Micheloni. Sparse Based Matching of Random Patches for Person Re-Identification. ICDSC, 2014.

[6]  Hirzer, M., Roth, P.M., Bischof, H. Person re-identification by efficient impostor-based metric learning. AVSS 2012.

[7]  Martin Hirzer, Peter M. Roth, Martin Köstinger, Horst Bischof. Relaxed Pairwise Learned Metric for Person Re-identification. ECCV 2012.

[8]  Bingpeng Ma, Yu Su and Frederic Jurie. BiCov: a novel image representation for person re-identification and face verification. BMVC 2012.

[9]  Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch. Learning Implicit Transfer for Person Re-identification. ECCV 2012.

[10]  Farenzena, M., Bazzani, L., Perina, A., Murino, V., Cristani, M. Person Re-Identification by Symmetry-Driven Accumulation of Local Features.  CVPR 2010.

iLIDS-VID

Métodor = 1r = 5r = 10r = 20r = 30Ano
McLaughlin et al. [1]588491962016
TDL [2]56.387.695.698.32016
TAPR [3]55.087.593.897.22016
SI²DL [5]48.781.189.297.32016
DRML [6]43.172.7822016
FAST3D [4]28.454.766.778.12016

[1] McLaughlin, N., Martinez del Rincon, J., & Miller, P. Recurrent Convolutional Network for Video-based Person Re-Identification ” in CVPR 2016

[2] Jinjie You, Ancong Wu, Xiang Li and Wei-Shi Zheng. Top-push Video-based Person Re-identification ” in CVPR 2016

[3] Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, and Nong Sang Temporally Aligned Pooling Representation for Video-Based Person Re-Identification ” in ICIP 2016

[4] Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, and Nong Sang Temporally Aligned Pooling Representation for Video-Based Person Re-Identification ” in ICIP 2016

[5] Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Hui Feng Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics ” in IJCAI 2016

[6] Wenbin Yao, Zhenyu Weng, Yuesheng Zhu. ” Diversity Regularized Metric Learning For Person Re-Identification ” in ICIP 2016

PRID-2011 (Multi-shot)

Métodor = 1r = 5r = 10r = 20r = 30Ano
SI²DL [5]76.795.696.798.92016
McLaughlin et al. [1]709095972016
TAPR [3]68.694.697.498.92016
TDL [2]56.780.087.693.42016
FAST3D [4]31.160.376.488.62016

[1] McLaughlin, N., Martinez del Rincon, J., & Miller, P. Recurrent Convolutional Network for Video-based Person Re-Identification ” in CVPR 2016

[2] Jinjie You, Ancong Wu, Xiang Li and Wei-Shi Zheng. Top-push Video-based Person Re-identification ” in CVPR 2016

[3] Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, and Nong Sang Temporally Aligned Pooling Representation for Video-Based Person Re-Identification ” in ICIP 2016

[4] Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Hui Feng A Fast Adaptive Spatio-temporal 3D Feature For Video-Based Person Re-identification ” in ICIP 2016

[5] Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Hui Feng Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics ” in IJCAI 2016