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TSWC2017
Information
Contact Name: PyongKun Kim
Email: iros@etri.re.kr
Organization: Electronics and Telecommunications Research Institute (ETRI)
Method's Name: (C) bagging + CNN
Reference: PyongKun Kim, et al., " Vehicle Type Classification Using Bagging and Convolutional Neural Network on Multi View Surveillance Image", Traffic Surveillance Workshop and Challenge, CVPR 2017.
Project Website:
Evaluation Metrics
Precision of each category :
$$ Pre_i = \frac{TP_i}{TP_i + FP_i}$$
Articulated Truck
Bicycle
Bus
Car
Motorcycle
Non-motorized Vehicle
Pedestrian
Pickup Truck
Single Unit Truck
Work Van
Background
0.9438
0.9156
0.9916
0.9834
0.9720
0.8540
0.9513
0.9375
0.8339
0.9112
0.9968
Recall of each category:
$$ Rec_i = \frac{TP_i}{TP_i + FN_i}$$
Articulated Truck
Bicycle
Bus
Car
Motorcycle
Non-motorized Vehicle
Pedestrian
Pickup Truck
Single Unit Truck
Work Van
Background
0.9412
0.8739
0.9593
0.9866
0.9131
0.7078
0.9610
0.9510
0.8273
0.8258
0.9980
Accuracy: 0.9786
$$ Acc = \frac{TP}{Number of Testing Images}$$
Mean Recall: 0.9041
$$ {mRec} = {\rm mean}({Rec_i})$$
Mean Precision: 0.9355
$$ {mPre} = {\rm mean}({Pre_i})$$
Cohen Kappa Score: 0.9666
Confusion Matrix (%):
Predicted
Articulated Truck
Bicycle
Bus
Car
Motorcycle
Non-motorized Vehicle
Pedestrian
Pickup Truck
Single Unit Truck
Work Van
Background
True
Articulated Truck
94.12
0.04
0.19
0.46
0.00
0.85
0.00
0.15
3.79
0.00
0.39
Bicycle
0.00
87.39
0.18
0.35
1.40
0.00
9.63
0.00
0.00
0.00
1.05
Bus
0.47
0.00
95.93
0.66
0.00
0.23
0.00
0.00
0.81
1.55
0.35
Car
0.01
0.00
0.01
98.66
0.00
0.00
0.01
1.04
0.01
0.18
0.08
Motorcycle
0.00
2.83
0.00
4.44
91.31
0.00
1.21
0.20
0.00
0.00
0.00
Non-motorized Vehicle
5.02
0.23
0.68
7.76
0.00
70.78
0.23
1.37
7.99
0.23
5.71
Pedestrian
0.00
1.85
0.00
0.58
0.32
0.06
96.10
0.00
0.06
0.00
1.02
Pickup Truck
0.03
0.00
0.01
4.45
0.00
0.04
0.00
95.10
0.23
0.10
0.04
Single Unit Truck
7.58
0.00
0.16
1.64
0.00
0.39
0.00
5.70
82.73
1.64
0.16
Work Van
0.00
0.00
0.17
14.29
0.00
0.21
0.00
1.78
0.95
82.58
0.04
Background
0.01
0.00
0.00
0.14
0.00
0.02
0.03
0.00
0.00
0.00
99.80