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Probabilistic Observation Models for Tracking Based on Optical Flow.

, , , , и . IbPRIA, том 2652 из Lecture Notes in Computer Science, стр. 462-469. Springer, (2003)

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Jose Antonio Garrido Ariza

José Antonio Garrido Ariza

Luis Antonio Carrillo Corado

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Myriam Garrido

 

Другие публикации лиц с тем же именем

Local Motion Estimation from Stereo Image Sequences., , , и . IbPRIA, том 2652 из Lecture Notes in Computer Science, стр. 740-747. Springer, (2003)Probabilistic Observation Models for Tracking Based on Optical Flow., , , , и . IbPRIA, том 2652 из Lecture Notes in Computer Science, стр. 462-469. Springer, (2003)An optical flow probabilistic observation model for tracking., , , и . ICIP (3), стр. 957-960. IEEE, (2003)Boundary simplification using a multiscale dominant-point detection algorithm., , и . Pattern Recognit., 31 (6): 791-804 (1998)Optical flow-based probabilistic tracking., , , , и . ISSPA (2), стр. 219-222. IEEE, (2003)0-7803-7946-2.Applying deformable templates for cell image segmentation., и . Pattern Recognit., 33 (5): 821-832 (2000)Recovering Non-rigid 3D Shape Using a Plane+Parallax Approach., и . AMDO, том 2492 из Lecture Notes in Computer Science, стр. 251-256. Springer, (2002)A New Methodology to Automatically Segment Biomedical Images., , и . ICIAP (2), том 1311 из Lecture Notes in Computer Science, стр. 372-379. Springer, (1997)Using Optical Flow as Evidence for Probabilistic Tracking., , , и . SCIA, том 2749 из Lecture Notes in Computer Science, стр. 1044-1049. Springer, (2003)Physically-based active shape models: initialization and optimization., и . Pattern Recognit., 31 (8): 1003-1017 (1998)