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Cyclist Helmet Recognition Using Computer Vision Techniques

Date post: 18-Feb-2016
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Jinling Li. Cyclist Helmet Recognition Using Computer Vision Techniques. Framework. Tracking. Head Trajectory. Supervised Learning. Results: Surrey Dataset. Results Analysis. Results: Vancouver Dataset. Results Analysis. Thank you very much. . - PowerPoint PPT Presentation
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Cyclist Helmet Recognition Using Computer Vision Techniques Jinling Li
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Page 1: Cyclist Helmet Recognition Using Computer Vision Techniques

Cyclist Helmet Recognition Using Computer Vision Techniques

Jinling Li

Page 2: Cyclist Helmet Recognition Using Computer Vision Techniques

Framework

Page 3: Cyclist Helmet Recognition Using Computer Vision Techniques

Tracking

Page 4: Cyclist Helmet Recognition Using Computer Vision Techniques

Head Trajectory

Page 5: Cyclist Helmet Recognition Using Computer Vision Techniques

Supervised Learning

Page 6: Cyclist Helmet Recognition Using Computer Vision Techniques

Results: Surrey Dataset  Color HOG Texton LBP

Original Accuracy 0.74 0.79 0.73 0.65Top Rank

Score Selection

0.87 0.85 0.89 0.77

Top Score in the Cluster Selection

0.88 0.92 0.96 0.83Single

MachineAverage of

Four Instances

Average of Six

InstancesTexto

n3 min 4 min 2 min

HOG 426 min 495 min 320 min

Page 7: Cyclist Helmet Recognition Using Computer Vision Techniques

Results Analysis

Page 8: Cyclist Helmet Recognition Using Computer Vision Techniques

Results: Vancouver Dataset

Page 9: Cyclist Helmet Recognition Using Computer Vision Techniques

Results Analysis

Page 10: Cyclist Helmet Recognition Using Computer Vision Techniques

Thank you very much.


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