Abstract
In this paper, a method for improving the quality of person re-identification results is presented. The method is based on the assumption, that including segmentation information into re-identification pipeline suppresses the influence of the background and discards the automated detections that are of poor quality due to occlusions, misplaced regions of interest (ROI), multiple persons found within a single ROI etc. Assuming that a joint detector-segmented approach is used, the additional cost associated with the use of the proposed approach is very low.
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Pieczyński, D., Kraft, M., Fularz, M. (2019). Using Segmentation Priors to Improve the Video Surveillance Person Re-Identification Accuracy. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_16
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DOI: https://doi.org/10.1007/978-3-030-03658-4_16
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