Research Article

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

Table 11

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

PCA+V-HOG
+ + +
Accuracy Recall Precision

RMM-SA 97.64 97.95 97.32
RMM-WA 98.56 98.91 98.20
DS-SA 97.50 97.75 97.24
DS-WA 98.66 98.95 98.36

(b)

PCA+ + + Accuracy
Recall
Precision

RMM-SA 97.04 97.42 96.64
RMM-WA 98.60 99.11 98.08
DS-SA 96.70 96.99 96.40
DS-WA 98.64 98.95 98.32

(c)

PCA+ + Accuracy Recall Precision

RMM-SA 95.26 95.66 94.84
RMM-WA 98.22 98.36 98.08
DS-SA 94.86 94.96 94.76
DS-WA 98.46 98.52 98.40

(d)

PCA+ + Accuracy Recall Precision

RMM-SA 95.04 95.26 94.80
RMM-WA 98.20 98.63 97.76
DS-SA 94.72 95.01 94.40
DS-WA 98.64 98.96 98.32

(e)

PCA+ Accuracy Recall Precision

RMM-SA 97.58 97.38 97.80
RMM-WA 98.18 97.97 98.40
DS-SA 97.58 97.38 97.80
DS-WA 98.32 98.21 98.44