cyclist helmet recognition using computer vision techniques
Post on 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
Framework
Tracking
Head Trajectory
Supervised Learning
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
Results Analysis
Results: Vancouver Dataset
Results Analysis
Thank you very much.
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