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Vehicle Detection Method using Haar-like Feature on Real Time SystemSungji Han, Youngjoon Han and Hernsoo Hahn
![Page 2: Vehicle Detection Method using Haar-like Feature on Real Time System Sungji Han, Youngjoon Han and Hernsoo Hahn](https://reader035.vdocument.in/reader035/viewer/2022062516/56649d695503460f94a4773d/html5/thumbnails/2.jpg)
Introduction
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•HYPOTHESIS GENERATION• Detecting the distant region using a shadow feature
• Detecting vertical edge using Haar-like feature
• Determining the candidate regions
•HYPOTHESIS VERIFICATION• Verification using complexity of vehicles
• Final verification using vehicle’s symmetric feature
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HYPOTHESIS GENERATION
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Detecting the distant region using a shadow feature
• Brightness normalization
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Detecting the distant region using a shadow feature
• Determining the shadow point in each height.
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Detecting vertical edge using Haar-like feature
•Haar-Like Feature
•Better than Sobel and Prewitt
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Detecting vertical edge using Haar-like feature
•Compare to Sobel result
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Determining the candidate regions
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•HYPOTHESIS VERIFICATION
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Verification using complexity of vehicles
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Final verification using vehicle’s symmetric feature
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EXPERIMENTAL RESULT & CONSIDERATION
Detection Methods
Sobel Prewitt Haar
Time(ms) 2 2 3
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Result Images
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DETECTING RATE
Position Same Lane Side Lane
Dedecting Rate(%)
91.2 76.2
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Error Results
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Conclusion
• It is proper to apply it to the real-time system.
• It has a limit to detect vehicles using single camera.
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Thank You