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You searched for +publisher:"University of Colorado" +contributor:("Yermal Bhat"). One record found.

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University of Colorado

1. Dao, Raymond. Probabilistic and Statistical Methods for Target Tracking.

Degree: MS, Applied Mathematics, 2015, University of Colorado

Accurate and efficient tracking of objects through frames of a video is important in a wide range of areas including surveillance, military, and medical imaging applications, as well the understanding of social interactions of biological populations such as swarming insects. In this thesis, we review some of the most popular deterministic template matching algorithms for tracking, including the seminal Lucas-Kanade algorithm. We also review a Monte Carlo method and introduce a simple probabilistic algorithm for parameter learning. Additionally, we offer some improvements for existing algorithms, including a template stabilizer, formed from a principle components analysis, and an additional stopping rule for iterative attempts at matching that improves the speed of existing algorithms and in some cases results in better accuracy. Existing and new methods are compared on simulated images and on real video. In several cases, R code is provided. Advisors/Committee Members: Jem Corcoran, Anne Dougherty, Yermal Bhat.

Subjects/Keywords: Image Alignment; Target Tracking; Applied Mathematics; Applied Statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dao, R. (2015). Probabilistic and Statistical Methods for Target Tracking. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/69

Chicago Manual of Style (16th Edition):

Dao, Raymond. “Probabilistic and Statistical Methods for Target Tracking.” 2015. Masters Thesis, University of Colorado. Accessed March 03, 2021. https://scholar.colorado.edu/appm_gradetds/69.

MLA Handbook (7th Edition):

Dao, Raymond. “Probabilistic and Statistical Methods for Target Tracking.” 2015. Web. 03 Mar 2021.

Vancouver:

Dao R. Probabilistic and Statistical Methods for Target Tracking. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2021 Mar 03]. Available from: https://scholar.colorado.edu/appm_gradetds/69.

Council of Science Editors:

Dao R. Probabilistic and Statistical Methods for Target Tracking. [Masters Thesis]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/appm_gradetds/69

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