Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models

Table 1

Accuracy comparison between CNN_soft-max, CNN_SVM, pretrained CNN, and HELM.

Cross validation (4 persons out of 12)	Supervised CNN + soft-max	Supervised CNN + SVM	Pretrained CNN + SVM	HELM
1	94.0542	91.8966	97.7170	94.7065
2	97.3726	91.9131	97.6115	97.9186
3	96.1542	92.9835	98.5988	96.0008
4	97.1056	92.8199	97.8509	97.4410
5	94.6982	91.1981	97.9344	94.9851
6	95.7974	91.2816	98.4077	95.7583
7	91.7131	87.8823	98.0749	92.3971
8	96.5649	92.7828	98.5311	96.5765
9	97.0207	93.6128	98.0556	97.3239
10	95.5184	90.6524	98.1257	95.7467
Average accuracy	95.5999%	91.7023%	98.0908%	95.8855%