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. 2024 Nov 22;24(23):7463. doi: 10.3390/s24237463

Table A2.

Mean and standard deviation of metrics for different pairs of (J,R) values for 30 runs in vehicle-size classification. The value R= denotes the results when the MV-DTF layer is employed, whereas the other values correspond to the LRMV-DTF layer.

Video (J,R) ACCw F1w GMw MCCnw BMnw
V1 (2,) 0.9761±0.0069 0.9666±0.0119 0.9150±0.0333 0.9441±0.0160 0.9196±0.0300
(2,1) 0.9719±0.0103 0.9641±0.0132 0.8953±0.0480 0.9345±0.0251 0.9022±0.0410
(2,2) 0.9710±0.0092 0.9520±0.0264 0.8932±0.0459 0.9299±0.0257 0.9021±0.0370
(2,3) 0.9675±0.0101 0.9529±0.0209 0.8747±0.0432 0.9224±0.0262 0.8840±0.0371
(2,4) 0.9764±0.0062 0.9668±0.0119 0.9135±0.0284 0.9444±0.0157 0.9179±0.0254
V1 (16,) 0.9782±0.0089 0.9699±0.0139 0.9211±0.0405 0.9489±0.0220 0.9252±0.0353
(16,1) 0.9786±0.0064 0.9719±0.0084 0.9216±0.0275 0.9503±0.0151 0.9250±0.0250
(16,2) 0.9783±0.0061 0.9690±0.0120 0.9196±0.0268 0.9490±0.0148 0.9236±0.0244
(16,3) 0.9786±0.0070 0.9716±0.0087 0.9236±0.0312 0.9503±0.0167 0.9269±0.0280
(16,4) 0.9750±0.0075 0.9673±0.0116 0.9078±0.0346 0.9417±0.0189 0.9128±0.0296
V1 (64,) 0.9790±0.0064 0.9706±0.0118 0.9256±0.0278 0.9510±0.0157 0.9288±0.0254
(64,1) 0.9743±0.0130 0.9634±0.0211 0.9038±0.0692 0.9385±0.0360 0.9111±0.0507
(64,2) 0.9745±0.0105 0.9649±0.0157 0.9066±0.0476 0.9398±0.0270 0.9124±0.0395
(64,3) 0.9766±0.0067 0.9682±0.0084 0.9152±0.0299 0.9454±0.0159 0.9192±0.0270
(64,4) 0.9775±0.0074 0.9696±0.0085 0.9197±0.0334 0.9475±0.0174 0.9234±0.0299
V2 (2,) 0.9626±0.0034 0.9525±0.0053 0.8602±0.0286 0.8815±0.0131 0.8687±0.0246
(2,1) 0.9602±0.0056 0.9518±0.0084 0.8438±0.0517 0.8730±0.0233 0.8555±0.0434
(2,2) 0.9596±0.0053 0.9443±0.0149 0.8363±0.0625 0.8694±0.0249 0.8508±0.0494
(2,3) 0.9579±0.0052 0.9448±0.0114 0.8369±0.0412 0.8648±0.0217 0.8493±0.0337
(2,4) 0.9625±0.0029 0.9522±0.0051 0.8630±0.0280 0.8818±0.0112 0.8715±0.0242
V2 (16,) 0.9684±0.0046 0.9612±0.0063 0.8700±0.0405 0.8993±0.0168 0.8785±0.0351
(16,1) 0.9690±0.0054 0.9621±0.0076 0.8671±0.0372 0.9005±0.0190 0.8758±0.0320
(16,2) 0.9682±0.0040 0.9600±0.0062 0.8633±0.0311 0.8976±0.0143 0.8724±0.0266
(16,3) 0.9682±0.0046 0.9615±0.0057 0.8642±0.0328 0.8979±0.0163 0.8729±0.0283
(16,4) 0.9664±0.0052 0.9586±0.0078 0.8441±0.0447 0.8906±0.0200 0.8565±0.0371
V2 (64,) 0.9704±0.0044 0.9637±0.0061 0.8732±0.0296 0.9054±0.0151 0.8809±0.0259
(64,1) 0.9674±0.0049 0.9586±0.0115 0.8522±0.0505 0.8942±0.0207 0.8638±0.0386
(64,2) 0.9685±0.0040 0.9616±0.0062 0.8665±0.0304 0.8992±0.0140 0.8751±0.0259
(64,3) 0.9671±0.0041 0.9603±0.0059 0.8599±0.0448 0.8951±0.0160 0.8698±0.0380
(64,4) 0.9692±0.0037 0.9621±0.0054 0.8713±0.0453 0.9019±0.0151 0.8798±0.0387
V3 (2,) 0.9475±0.0074 0.9175±0.0185 0.8752±0.0491 0.8998±0.0178 0.8851±0.0419
(2,1) 0.9317±0.0148 0.8884±0.0281 0.7909±0.0644 0.8630±0.0327 0.8157±0.0504
(2,2) 0.9377±0.0128 0.8953±0.0306 0.8096±0.0600 0.8744±0.0297 0.8323±0.0417
(2,3) 0.9451±0.0142 0.9163±0.0253 0.8596±0.0666 0.8945±0.0309 0.8717±0.0554
(2,4) 0.9452±0.0158 0.9130±0.0283 0.8605±0.0754 0.8934±0.0353 0.8726±0.0635
V3 (16,) 0.9635±0.0091 0.9431±0.0187 0.9192±0.0393 0.9308±0.0199 0.9236±0.0350
(16,1) 0.9590±0.0073 0.9401±0.0124 0.9015±0.0312 0.9226±0.0145 0.9068±0.0275
(16,2) 0.9620±0.0078 0.9450±0.0115 0.9163±0.0337 0.9292±0.0155 0.9202±0.0299
(16,3) 0.9637±0.0091 0.9470±0.0136 0.9161±0.0385 0.9320±0.0180 0.9204±0.0342
(16,4) 0.9621±0.0091 0.9435±0.0140 0.9074±0.0327 0.9282±0.0179 0.9125±0.0288
V3 (64,) 0.9614±0.0090 0.9418±0.0177 0.9054±0.0362 0.9271±0.0180 0.9110±0.0306
(64,1) 0.9592±0.0117 0.9362±0.0243 0.8931±0.0544 0.9216±0.0259 0.9016±0.0414
(64,2) 0.9620±0.0114 0.9421±0.0187 0.8999±0.0441 0.9273±0.0237 0.9066±0.0363
(64,3) 0.9614±0.0069 0.9398±0.0116 0.8977±0.0298 0.9265±0.0134 0.9042±0.0258
(64,4) 0.9596±0.0068 0.9397±0.0099 0.9014±0.0284 0.9240±0.0131 0.9069±0.0251
V4 (2,) 0.9492±0.0036 0.9212±0.0044 0.8336±0.0126 0.8661±0.0071 0.8466±0.0100
(2,1) 0.9446±0.0079 0.9143±0.0122 0.8022±0.0406 0.8506±0.0246 0.8213±0.0304
(2,2) 0.9475±0.0052 0.9168±0.0128 0.8105±0.0343 0.8585±0.0164 0.8289±0.0247
(2,3) 0.9446±0.0051 0.9146±0.0096 0.8157±0.0318 0.8531±0.0151 0.8317±0.0244
(2,4) 0.9477±0.0043 0.9188±0.0072 0.8280±0.0104 0.8615±0.0107 0.8413±0.0088
V4 (16,) 0.9481±0.0046 0.9236±0.0071 0.8526±0.0256 0.8680±0.0118 0.8621±0.0201
(16,1) 0.9501±0.0036 0.9252±0.0061 0.8565±0.0088 0.8723±0.0074 0.8651±0.0070
(16,2) 0.9498±0.0042 0.9257±0.0063 0.8555±0.0169 0.8716±0.0109 0.8643±0.0138
(16,3) 0.9491±0.0026 0.9254±0.0030 0.8581±0.0089 0.8708±0.0043 0.8662±0.0074
(16,4) 0.9499±0.0035 0.9257±0.0051 0.8494±0.0199 0.8706±0.0095 0.8591±0.0162
V4 (64,) 0.9493±0.0043 0.9264±0.0056 0.8636±0.0106 0.8727±0.0067 0.8711±0.0083
(64,1) 0.9499±0.0043 0.9267±0.0087 0.8586±0.0327 0.8728±0.0134 0.8674±0.0246
(64,2) 0.9498±0.0044 0.9271±0.0054 0.8623±0.0091 0.8735±0.0075 0.8700±0.0075
(64,3) 0.9503±0.0039 0.9272±0.0047 0.8617±0.0098 0.8742±0.0059 0.8695±0.0082
(64,4) 0.9483±0.0054 0.9263±0.0049 0.8635±0.0142 0.8713±0.0089 0.8708±0.0116

Values highlighted in red denote the worst values achieved on every group. Values highlighted in blue denote the best values achieved on every group.