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It's quite possible in the excitement of challenging SALRE that this might be missed but hey!
There are all kinds of issues to do with the affect of clothing etc (co-variate factors) on recognising people when attempting gait recognition. The following conclusion from a recent paper by the folks at Southampton might be of interest. At least to those with an interest.
Conclusions
"In this chapter, we have investigated the impact of the different covariate factors on the performance of gait recognition using kinematic-related features. Four different covariates are analysed including footwear, load carriage, clothing and walking speed.
Based on a covariate-based probe dataset of 440 samples, a high recognition rate of
73.4% is achieved using the KNN classifier with k = 5. This is to conclude that people identification using dynamic gait features is still perceivable with better recognition rate even under the different covariate factors. The footwear, clothing and load carriage covariates are observed to have almost no effects on the performance of gait recognition with similar results when walking with barefeet or without carrying bags. However, the gait recognition drops largely when walking with flip flops or wearing a trench coat due the difficulties encountered during the extraction of dynamic gait features using the model-based method."
With regards to this latter sentence I suspect that the trained human eye may fair a little better as it recognition of gait cues is not predetermined.
Ian
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