Purdue University Graduate School
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TEMPORAL DIET AND PHYSICAL ACTIVITY PATTERN ANALYSIS, UNSUPERVISED PERSON RE-IDENTIFICATION, AND PLANT PHENOTYPING

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thesis
posted on 2024-03-06, 13:32 authored by Jiaqi GuoJiaqi Guo

Both diet and physical activity are known to be risk factors for obesity and chronic diseases such as diabetes and metabolic syndrome. We explore a distance-based approach for clustering daily physical activity time series to find temporal physical activity patterns among U.S. adults (ages 20-65). We further extend this approach to integrate both diet and physical activity, and find joint temporal diet and physical activity patterns. Our experiments indicate that the integration of diet, physical activity, and time has the potential to discover joint patterns with association to health.

Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims to learn identity information from labeled images in source domains and apply it to unlabeled images in a target domain. We propose a deep learning architecture called Synthesis Model Bank (SMB) to deal with illumination variation in unsupervised person re-ID. From our experiments, the proposed SMB outperforms other synthesis methods on several re-ID benchmarks.

Recent technology advancement introduced modern high-throughput methodologies such as Unmanned Aerial Vehicles (UAVs) to replace the traditional, labor-intensive phenotyping. For many UAV phenotyping analysis, the first step is to extract the smallest groups of plants called “plots” that have the same genotype. We propose an optimization-based, rotation-adaptive approach for extracting plots in a UAV RGB orthomosaic image. From our experiments, the proposed method achieves better plot extraction accuracy compared to existing approaches, and does not require training data.

History

Degree Type

  • Doctor of Philosophy

Department

  • Electrical and Computer Engineering

Campus location

  • West Lafayette

Advisor/Supervisor/Committee Chair

Edward J. Delp

Advisor/Supervisor/Committee co-chair

Saul B. Gelfand

Additional Committee Member 2

Heather A. Eicher-Miller

Additional Committee Member 3

Mary L. Comer