Table 6.

Performance comparison with respect to similar existing methods.

Reference	Features Extraction Method	Classifier (s)	Execution Time (s)	Accuracy (%)
Kamble et al. [39]	R-HOG	FFANN	$0.14\pm 0.02$	98.718
Kamble et al. [39]	R-HOG	SVM	$0.17\pm 0.02$	96.523
Su et al. [40]	HOG	SVM	$0.19\pm 0.03$	94.890
Tian et al. [41]	HOG	SVM	$0.18\pm 0.01$	94.890
Boukharouba et al. [42]	CCH	SVM	$0.18\pm 0.02$	98.250
Niu et al. [44]	CNN	CNN + SVM	$0.21\pm 0.03$	97.325
Proposed	HOG	ANN	$0.16\pm 0.01$	99.375