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Regarding specific parameters of the motion representation algorithms, the value of ξ was set to 25 for MHI and to 8 for GMHI.
More details regarding the specific motion representation algorithms are presented below with implementation examples illustrated in Fig. 4. The MHI is a grayscale image, where white pixels correspond to the most recent movement in the video, intermediate grayscale values to corresponding less recent movements, and black pixels to the absence of movement.
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The motion representation algorithm is identical to the one described in Section 3.2.1, but the input image I is the result of the Gabor inhibition.
More recently, a parametric motion representation was proposed [21] where a Kanade-Lucas-Tomasi (KLT) tracking algorithm is adopted to match correspondence points and a motion segmentation algorithm is used to compute several parameter sets for a perspective transform; then, several warped reference pictures are generated and the best is selected for the coding process.
It is necessary to analyze the motion representation.
(b) Adopts a fine-grained motion representation, rather than being limited to e.g. dominant global motion.
This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion residuals.
Two research issues, namely, motion representation and subspace learning, are addressed.
Two research issues are addressed in this paper, namely, motion representation and subspace learning.
However, unlike FCA, QAA permits non-orthogonal motion representation.
Consistent with proposed models of biological motion representation, we suggest that visual areas predictively represent coherent facial trajectories.
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