Moving Vehicle Detection and Classification Using Gaussian Mixture Model and Ensemble Deep Learning Technique

Table 4

Performance analysis of the proposed ensemble deep learning technique on MIO-TCD by means of precision, recall, and accuracy.

Feature extraction	Classifier	Precision (%)	Recall (%)	Accuracy (%)
SPT	MSVM	67.84	70	82
	KNN	70.40	70.27	65
	DNN	78.22	89	80.10
	LSTM	85	88.29	88
	Ensemble	89	89.54	90.72
WLD	MSVM	70	80	90
	KNN	78	80.90	92.04
	DNN	83	90.72	93
	LSTM	87.09	92	94.20
	Ensemble	89	93.39	97
Hybrid (SPT + WLD)	MSVM	72.34	93.02	96
	KNN	82.02	94	97.77
	DNN	92.31	96.20	96
	LSTM	98.70	98.82	98.62
	Ensemble	99.12	99.69	99.13