Investigation of Siamese CNN for Person Detection & Re-Identi fication

Janghel, Lokesh (2017) Investigation of Siamese CNN for Person Detection & Re-Identi fication. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Recent advances in visual tracking methods allow following a given object or individual in presence of signi fi cant clutter or partial occlusions in a single or a set of overlapping camera views. This thesis a whole framework for people detection and tracking in a camera network. The three main processing steps are addressed: people detection, Feature extraction, and people re-identi fi cation in multi-camera context. People re-identi fi cation is performed using an appearance based approach. A state of the art approach, which performs in real time, but provides various performances depending on the input data is improved to provide better performances while keeping the real-time processing advantage. The improvements are introduced at a new layer in deep learning method with the original approach of our cited journals, by replacing some of initial steps or by adding new ones.

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IITH Creators:
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Item Type: Thesis (Masters)
Uncontrolled Keywords: person re-identification, TD829
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 28 Jun 2017 05:38
Last Modified: 28 Jun 2017 05:38
URI: http://raiith.iith.ac.in/id/eprint/3300
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