A COMPARISON AND EVALUATION OF MOTION INDEXING ...
A COMPARISON AND EVALUATION OF MOTION INDEXING ...
A COMPARISON AND EVALUATION OF MOTION INDEXING ...
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Figure 5.8: False negatives for DTW-Quat technique.<br />
Dynamic time warping tries to find the matching between the two files based on<br />
the minimum distance warping path. DTW matching is affected if there are pattern<br />
differences in the files. For example, if the query is an action describing a jump and<br />
the dataset file is a hop, then DTW-Quat will return a rejection. Similarly, a fast<br />
walk or a walk with swinging arms gives a low score when matched with a normal<br />
walk. There are a large number of false negatives detected (see Fig 5.8). We make<br />
use of all 30 joints to calculate the local distance measure and the distance increases<br />
even if a small number of joints mismatch. The noticeable feature of this technique<br />
is that the number of false positives is zero because to have a match there should be<br />
a very small difference in the joint configurations (see Fig 5.9).<br />
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