文件列表:

condensation code\CondensationTracker1D\Frame132Set1.png (6618, 2008-12-03)
condensation code\CondensationTracker1D\IterateCondensation.m (1411, 2008-12-03)
condensation code\CondensationTracker1D\Main.m (2966, 2008-12-04)
condensation code\CondensationTracker1D\Set1Ground.dat (9756, 2008-09-28)
condensation code\CondensationTracker1D\Set1Obs.dat (195120, 2008-11-23)
condensation code\CondensationTracker1D\Set1Result.png (13183, 2008-12-03)
condensation code\CondensationTracker1D\Set2Ground.dat (11506, 2008-11-23)
condensation code\CondensationTracker1D\Set2Obs.dat (230120, 2008-11-23)
condensation code\CondensationTracker1D\Set2Result.png (13488, 2008-12-03)
condensation code\license.txt (1338, 2009-09-17)
condensation code\CondensationTracker1D (0, 2011-06-30)
condensation code (0, 2011-06-30)

Prakash Manandhar http://p-manandhar.info pmanandhar@umassd.edu Dec 2, 2008 Two Datasets: Set1 and Set2 are actual features from medical ultrasound data that I am working with. .gwd are ground truth data from manual marking of video frames. .pos data are noisy measurements of the features from another algorithm. Measurements in .pos files are ordered based on their probability of being true, however this probability is not used by the algorithm. search for comment: % comment for faster execution to disable online display of probabilities as the algorithm is running. ---------- Implementation is based on Realtime-tracker of 1D feature in clutter as described in: CONDENSATION – Conditional Density Propagation for Visual Tracking (19***) by Michael Isard, Andrew Blake International Journal of Computer Vision ftp://ftp.robots.ox.ac.uk/pub/ox.papers/VisualDynamics/ijcv***.ps.gz Citeseer: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.8357 @ARTICLE{Isard***condensation–, author = {Michael Isard and Andrew Blake}, title = {CONDENSATION – Conditional Density Propagation for Visual Tracking}, journal = {International Journal of Computer Vision}, year = {19***}, volume = {29}, pages = {5--28} } ---------

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