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

Table 6

Comparative analysis between the proposed and the existing techniques.

Algorithm	Dataset	Precision (%)	Recall (%)	Accuracy (%)
GAN-based deep ensemble technique [13]	MIO-TCD	96.41	—	—
Tiny YOLO with SVM [15]	BIT Vehicle	97.90	99.60	—
Semisupervised CNN model [19]	BIT Vehicle	—	—	88.11
PCN with softmax classifier [21]	BIT Vehicle	—	—	88.52
TC-SF-CNNLS [22]	BIT Vehicle	90.52	90.41	93.80
Ensemble deep learning technique	MIO-TCD	99.12	99.69	99.13
	BIT Vehicle	98.24	99.72	99.28
	Combined	99.27	99.77	99.32