The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks

Packet : 33753162matlab_optical_flow.rar filelist
optical_flow\read_sequence.m
optical_flow\gpn_ada.m
optical_flow\gpn_ada_mex.c
optical_flow\README.txt
optical_flow\rastread.m
optical_flow\gpn_ada_mex.mexglx
optical_flow\read_flow.m
optical_flow\eval_flow.m
optical_flow\example.m
optical_flow\vis_flow.m
optical_flow\yosemite\yosemite256.2
optical_flow\yosemite\yosemite256.3
optical_flow\yosemite\yosemite256.4
optical_flow\yosemite\yosemite256.5
optical_flow\yosemite\yosemite256.6
optical_flow\yosemite\yosemite256.7
optical_flow\yosemite\yosemite256.8
optical_flow\yosemite\yosemite256.9
optical_flow\yosemite\yosemite256.10
optical_flow\yosemite\yosemite256.11
optical_flow\yosemite\yosemite256.12
optical_flow\yosemite\yosemite256.13
optical_flow\yosemite\yosemite256.14
optical_flow\yosemite\yosemite256.16
optical_flow\yosemite\correct_yosemite256
optical_flow\optical_flow.m
optical_flow\gpn_ada_mex.mexsol
optical_flow\gpn_ada_mex.dll
optical_flow\gpn_ada.m.linux
optical_flow\gpn_ada.m.windows
optical_flow\optical_flow_orig.m
optical_flow\yosemite
optical_flow
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