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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01nk322d52v
Title: Image Processing and Computer Vision in Basketball Detection and Tracking
Authors: Chai, Hanfu
Advisors: Vanderbei, Robert
Department: Operations Research and Financial Engineering
Class Year: 2014
Abstract: This thesis uses a two-stage framework to detect and track a basketball in video footage. In the first stage, the ball is detected in each frame of the video sequence using different feature-based methods. Color-based, shape-based, and combined features methods are tested to determine the superior ball detection algorithm. In the second stage, the trajectory of the ball is tracked throughout the video sequence using a Kalman filter based candidate verification procedure.
Extent: 71
URI: http://arks.princeton.edu/ark:/88435/dsp01nk322d52v
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2016

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