Improving Person Re-identification by Segmentation-Based Detection Bounding Box Filtering

Autor: Dominik Pieczyński, Marek Kraft, Michał Fularz
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of Universal Computer Science, Vol 25, Iss 6, Pp 611-626 (2019)
Druh dokumentu: article
ISSN: 0948-6968
DOI: 10.3217/jucs-025-06-0611
Popis: 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-identi_cation pipeline 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. using a simple segment number, bounding box fill rate and aspect ratio check. Assuming that a joint detector-segmented approach is used, the additional cost associated with the use of the proposed approach is very low.
Databáze: Directory of Open Access Journals