Motion image segmentation using global criteria and DP

We propose methods for segmenting a motion sequence into motion primitives, taking into account temporal constraints (continuity along the time axis). In the proposed methods, dynamic programming (DP) is used on a motion feature sequence to allow for the effects of these constraints on the results of the segmentation. The methods do not require such a running window along the time axis, as is typical for the usual methods, and thus they can be applied to the segmentation of transient motions. The results of comparative experiments using several motion features and segmentation methods on weightlifting motion data demonstrate the effectiveness of the proposed methods.