JUCS - Journal of Universal Computer Science 25(6): 611-626, doi: 10.3217/jucs-025-06-0611
Improving Person Re-identification by Segmentation-Based Detection Bounding Box Filtering
expand article infoDominik Pieczyński, Marek Kraft, Michał Fularz
‡ Poznań University of Technology, Poznań, Poland
Open Access
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.
person re-identification, computer vision, deep learning, segmentation