1. Nevala, A.M., Hawley, J., Stokes, D., Slater, K., Otero, M.S., Santos, R., Duchemin, C., Manoudi, A.: Reducing early school leaving in the EU. European Parliament, Brussels (2011)
2. Bedagkar-Gala, A., Shah, S.K.: A survey of approaches and trends in person re-identification. Image Vis. Comput. 32(4), 270–286 (2014)
3. Lee, K.W., Sankaran, N., Setlur, S., Napp, N., Govindaraju, V.: Wardrobe model for long term re-identification and appearance prediction. In: 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Auckland, New Zealand, pp. 1–6 (2018)
4. Ding, Y.: Pedestrian re-identification based on image enhancement and over-fitting solution strategies. In: 5th International Conference on Systems and Informatics (ICSAI), Nanjing, China, pp. 745–750. IEEE (2018)
5. Nambiar, A., Bernardino, A.A.: Context-aware method for view-point invariant long-term re-identification. In: Cláudio, A., et al. (eds.) Computer Vision, Imaging and Computer Graphics – Theory and Applications, VISIGRAPP 2017. Communications in Computer and Information Science, vol. 983, pp. 329–351. Springer, Cham (2017)