Research Article

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

Table 7

Performance of the proposed ensembles for the front close/middle region.
(a)

PCA+V-HOG
+ + +
AccuracyRecallPrecision

RMM-SA99.2699.8499.68
RMM-WA99.2099.7298.68
DS-SA99.1699.4298.56
DS-WA99.4299.7699.08

(b)

PCA+V-HOG
+ +
AccuracyRecallPrecision

RMM-SA98.3899.1597.60
RMM-WA98.7499.5197.96
DS-SA98.3899.1597.60
DS-WA99.1299.6498.60

(c)

PCA+V-HOG+ AccuracyRecall Precision

RMM-SA99.0299.6098.44
RMM-WA99.1099.6098.60
DS-SA99.0499.6098.48
DS-WA99.1299.6098.64

(d)

PCA+ AccuracyRecallPrecision

RMM-SA98.6499.5197.76
RMM-WA98.8899.3998.36
DS-SA98.5899.5197.64
DS-WA98.9499.3998.48