Appearance-Based Person Re-Identification

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This page contains the Software used on the paper presented in ICB 2015, Appearance-Based Person Re-Identification by Intra-Camera Discriminative Models and Ranking Aggregation. In this work, we used prototypes to indirectly handle the camera transition problem. Thus, for a given gallery image, we computed the most similar individuals that were captured by the same camera in a training set. For each of these individuals, we used its respective image in the opposite camera (prototypes) to learn an appearance model using Partial Least Squares (PLS) in one-against-all (OAA) scheme. We did the same for each probe image and aggregate the obtained results using Stuart’s ranking aggregation method.

The experimental results are reported using Cumulative Matching Curve (CMC) with 10 trials.

ICB-VIPER

References

You should cite the following paper if you use this software in your work.

Igor Leonardo Oliveira Bastos; William Robson Schwartz: Assigning Relative Importance to Scene Elements. In: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017. (Type: Inproceedings | Links | BibTeX)

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