http://www.lirtex.com/robotics/fast-object-tracking-robot-computer-vision/

http://stochasticobservations.wordpress.com/matlab/

1. Kalman/Condensation Trackerhttp://www.inf.ed.ac.uk/teaching/courses/av/MATLAB/TASK6/

http://www.stanford.edu/class/cs377s/assignments/assignment2.pdf

http://www.mathworks.com/matlabcentral/fileexchange/17960-particle-filter-color-tracker

http://www.mathworks.co.uk/products/computer-vision/demos.html

http://www.mathworks.co.uk/help/toolbox/vision/vision_exampleindex.html

http://www.mathworks.co.uk/products/imaq/index.html

http://www.edaboard.com/thread228362.html

http://www.mathworks.es/matlabcentral/newsreader/view_thread/295940

http://groups.google.com/group/comp.soft-sys.matlab/browse_thread/thread/c1d07eab32fae6b2

http://www.mathworks.com/matlabcentral/fileexchange/25435-a-ball-tracking-application

http://www.mathworks.com/matlabcentral/fileexchange/25435-a-ball-tracking-application

http://www.mathworks.com/matlabcentral/fileexchange/33804-tracking-of-a-point-in-video-using-kalman-filter

http://www.mathworks.com/matlabcentral/fileexchange/14243-2d-target-tracking-using-kalman-filter

http://wn.com/Object_Tracking_in_MATLAB

http://www.mathworks.com/matlabcentral/fileexchange/5377-learning-the-kalman-filter

http://www.inf.ed.ac.uk/teaching/courses/av/LECTURE_NOTES/SMALL/avsys2s.pdf

http://www.mathworks.se/matlabcentral/newsreader/view_thread/301097

Tennis annotation:

http://info.ee.surrey.ac.uk/Research/VSSP/Publications/papers/yan-bmvc2005.pdf

Unsupervised Video Segmentation Based
on Watersheds and Temporal Tracking

http://lagis-vi.univ-lille1.fr/bibtex/upload/1998/wang_csvt_1998.pdf

http://multimedialab.elis.ugent.be/users/chpoppe/Masterproef/sportsAnalysis/tennis/TrajectoryBased%20ball%20detection%20and%20tracking%20algorithm%20in%20broadcast%20tennis%20video.pdf

http://info.ee.surrey.ac.uk/Research/VSSP/Publications/papers/Yan-PAMI-2008.pdf

http://adi.ac.ir/uploads/06.pdf

http://www.cardiff.ac.uk/socsi/contactsandpeople/harrycollins/expertise-project/hawk-eye-debate.html

http://cricketingview.blogspot.com/2010/10/hawkeye-and-virtual-eye.html 

http://oro.open.ac.uk/22642/

http://www.google.co.uk/url?sa=t&rct=j&q=tracking%20of%20a%20basketball%20using%20multiple%20cameras&source=web&cd=4&ved=0CD4QFjAD&url=http%3A%2F%2Fupcommons.upc.edu%2Fpfc%2Fbitstream%2F2099.1%2F11457%2F1%2F62272.pdf&ei=JZfSTp22BMefOrGS1a8P&usg=AFQjCNHSxcR_TxeDAo3dL11GJT6sfGq-zw&sig2=TN-FX7t-KD4xt5OVGKd_pg

Hough Transformation

For all racquet sports

http://www.jdl.ac.cn/doc/2009/A%20Framework%20for%20Flexible%20Summarization%20of%20Racquet%20Sports%20Video%20Using%20Multiple%20Modalities.pdf

Relevance is dubious, but fact is this is a patent…surely not?

http://www.freepatentsonline.com/EP2372653.pdf

First, the data of a moving image that is captured
is read for each frame, and whether to start tracking is
determined based on the presence or absence of a target
object (S20, S22). An edge image of the image frame is
created after it is determined to start tracking (S24).
Meanwhile, a particle is distributed in a space of a coefficient
set for each control point sequence when the control
point sequence of a B-spline curve representing the
shape of the target object is represented in a linear combination
of control point sequence of a B-spline curve
representing a plurality of reference shapes that are
made available in advance (S26). A particle is also distributed
in the space of a shape-space vector (S28), the
likelihood of each particle is observed, and the probability
density distribution is acquired (S30). A curve obtained
by weighting parameters by the probability density distribution
and then averaging the weighted parameters is
created as a tracking result (S32).