Sensor Selection and Integration to Improve Video Segmentation in Complex Environments

Table 1

Recall, precision, and 𝐹-measure data.

Image sequence	Metric	Fuzzy rule-based method	Our method
Trial 2
Image 1	Recall	0.28261	0.56522
	Precision	0.023851	0.68421
	𝐹-Measure	0.043989	0.61905
Image 2	Recall	0.31382	0.62763
	Precision	0.026282	0.91781
	𝐹-Measure	0.048502	0.74548
Image 3	Recall	0.29924	0.59848
	Precision	0.022281	0.60305
	𝐹-Measure	0.041473	0.60076
Image 4	Recall	0.31504	0.62053
	Precision	0.022303	0.93525
	𝐹-Measure	0.041657	0.74605
Image 5	Recall	0.3093	0.6186
	Precision	0.025775	0.6838
	𝐹-Measure	0.047585	0.64957
Trial 3
Image 1	Recall	0.76389	0.76389
	Precision	0.017909	0.67073
	𝐹-Measure	0.034998	0.71429
Image 2	Recall	0.54	0.54
	Precision	0.016232	0.8617
	𝐹-Measure	0.031518	0.66393
Image 3	Recall	0.62581	0.62581
	Precision	0.017382	0.776
	𝐹-Measure	0.033824	0.69286
Image 4	Recall	0.81006	0.81006
	Precision	0.026571	0.68075
	𝐹-Measure	0.051455	0.7398
Image 5	Recall	0.50562	0.50562
	Precision	0.018072	0.98901
	𝐹-Measure	0.034897	0.66914