Point Context: An Effective Shape Descriptor for RST-invariant Trajectory Recognition

no code implementations • 22 Jan 2015 • Xingyu Wu, Xia Mao, Lijiang Chen, Yuli Xue, Angelo Compare

Secondly, the shape context is nonlinearly mapped to a subspace by kernel nonparametric discriminant analysis (KNDA) to get a compact feature representation, and thus a trajectory is projected to a single point in a low-dimensional feature space.

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