Research Article

A Study of Feature Combination for Vehicle Detection Based on Image Processing

Table 13

Performance of the proposed ensembles for the far region.
(a)

PCA + V-HOG
+ + +
Accuracy Recall Precision

RMM-SA 97.16 97.12 97.20
RMM-WA 98.34 98.24 98.44
DS-SA 96.98 96.85 97.12
DS-WA 98.16 98.28 98.04

(b)

PCA+V-HOG
+ +
Accuracy Recall Precision

RMM-SA 98.38 97.12 95.60
RMM-WA 98.14 98.35 97.92
DS-SA 96.14 96.88 95.36
DS-WA 98.18 98.39 97.96

(c)

PCA+V-HOG + Accuracy Recall Precision

RMM-SA 94.52 96.81 92.08
RMM-WA 97.34 98.85 95.80
DS-SA 94.24 96.67 91.64
DS-WA 97.42 98.85 95.96

(d)

PCA + + Accuracy Recall Precision

RMM-SA 94.52 94.67 94.36
RMM-WA 96.76 95.95 97.64
DS-SA 94.22 94.42 94.00
DS-WA 96.76 95.92 97.68

(e)

PCA+V-HOG+ Accuracy Recall Precision

RMM-SA 97.22 98.05 96.36
RMM-WA 97.26 97.97 96.52
DS-SA 97.24 98.09 96.36
DS-WA 97.24 98.01 96.44