Ensemble Learning-Based Person Re-identification with Multiple Feature Representations

Table 1

Matching rates of different approaches on the VIPER dataset.

Rank
	1	10	25	50	1	10	25	50
Our approach	0.147	0.513	0.701	0.867	0.285	0.763	0.915	0.987
RS-KISS	0.098	0.405	0.608	0.765	0.245	0.666	0.847	0.930
RDC	0.091	0.344	0.535	0.697	0.157	0.539	0.752	0.879
LFDA	0.101	0.388	0.593	0.766	0.202	0.632	0.826	0.928
MFA	0.100	0.391	0.596	0.769	0.201	0.655	0.843	0.938
Adaboost	0.042	0.020	0.350	0.503	0.082	0.366	0.582	0.909
Bhat	0.038	0.124	0.203	0.295	0.047	0.166	0.266	0.402
PLS	0.023	0.082	0.142	0.232	0.27	0.109	0.204	0.329
Xing’s	0.036	0.121	0.203	0.295	0.047	0.166	0.266	0.415