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. Author manuscript; available in PMC: 2012 Sep 6.
Published in final edited form as: IEEE Trans Med Imaging. 2011 Aug 22;31(1):117–130. doi: 10.1109/TMI.2011.2165554

Fig. 9.

Fig. 9

Comparison of the tracking performance obtained using three particle filtering algorithms. These data correspond to frames 61, 64, 71, 76, 81, and 88 of Movie 3 with SNR = 5.5, which is the same movie shown in Fig. 1(g)–(l) and Fig. 3(b), (d), and (f). (a) GPF with 200 particles. (b) OCPF with 100 particles. (c) SCPF with 50 particles. The upper row of panels in (a)–(c) shows the distribution of the particles. The bounding boxes measure 10 × 120 pixels throughout. The lower row of panels in (a)–(c) shows the tracking results overlaid on the image of the moving neurofilament, with insets showing the object tracking area at higher magnification. GPF and OCPF generate many tracking errors in position and orientation. In the example shown in (a) the tracked neurofilament is lost completely. SCPF generates more accurate tracking performance with fewer particle numbers.