On the (Soccer) Ball.

Date of Submission

December 2016

Date of Award

Winter 12-12-2017

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Electronics and Communication Sciences Unit (ECSU-Kolkata)


Mukherjee, Dipti Prasad (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

The problem of football tracking from live video is a difficult one. Successful tracking depends critically on the ability of the algorithm to balance prior constraints continuously against evidence garnered from sequences of images. Exact, deterministic tracking algorithms, based on discretized functional, suffer from severe limitations on the form of prior constraint that can be imposed tractably. This paper proposes a particle filter based algorithm that enables to track the ball when it changes its direction suddenly. This algorithm can also track the ball when it takes high speed suddenly and stops. Our algorithm has shown efficient result for partial occlusion and small time full occlusion. Our algorithm has ability to track the ball in spite of Camera movement


ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843291

Control Number


Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.



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