Transcript
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

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Tracking

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Head Trajectory

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Supervised Learning

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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

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Results Analysis

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Results: Vancouver Dataset

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Results Analysis

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Thank you very much.


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