Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159541
Title: Cross perspective person ReID aerial and ground
Authors: Zhang, Yunkai
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Zhang, Y. (2022). Cross perspective person ReID aerial and ground. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/159541
Abstract: This dissertation experiments upon cross-perspective person ReID problems. Firstly, dataset rarity is a common-existing problem for person ReID because of less research focus and the difficulty to conduct. Based on existed works, the dissertation introduces a method for modifying existing datasets to better serve person ReID training process. With help of this method, future research work on person ReID datasets can result with more precise human boundary and straight posture. Secondly, cross-perspective person ReID is a problem which has significant practical value but receives comparable less research focus. This dissertation conducted cross perspective ReID experiments based on a GTA-captured person image database and summarized conclusions and analyzed existing problems for cross-perspective person ReID tasks. The conclusion from experiment result analysis shows similarity with existed person ReID common sense and potential research directions for future study.
URI: https://hdl.handle.net/10356/159541
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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