Return to search

Robust Object Tracking: A Path-Planning Approach

When attempting to follow ground-based moving objects (hereafter referred to as ``waldos'') using an unmanned air vehicle (UAV), occlusion can become a significant problem for computer vision algorithms designed to track the object. When a waldo is occluded, the computer vision algorithm loses the track and the UAV's ability to predict movement degrades. We propose a path-planning and replanning method that moves a UAV to a location that maximizes the important waldos that can be seen while accounting for occlusion, and attempts to maximize the area it can see during travel. The proposed work moves beyond state-of-the-art algorithms designed to follow a single waldo while accounting for occlusion to enable tracking multiple prioritized waldos.

Identiferoai:union.ndltd.org:BGMYU2/oai:scholarsarchive.byu.edu:etd-7540
Date01 May 2017
CreatorsChandler, Bryant Eldon
PublisherBYU ScholarsArchive
Source SetsBrigham Young University
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceAll Theses and Dissertations
Rightshttp://lib.byu.edu/about/copyright/

Page generated in 0.0019 seconds