Real-Time Vehicle Detection and Tracking Using Haar-Like Features and Compressive Tracking

Sara Maher Elkerdawi; Ramy Sayed; Mohamed Elhelw

doi:10.1007/978-3-319-03413-3_27

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Real-Time Vehicle Detection and Tracking Using Haar-Like Features and Compressive Tracking

Sara Maher Elkerdawi Ramy Sayed Mohamed Elhelw

Year: 2013 Advances in intelligent systems and computing Pages: 381-390 Publisher: Springer Nature

DOI: 10.1007/978-3-319-03413-3_27

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Keywords:

Computer science Tracking (education) Fuse (electrical) Artificial intelligence Computer vision Vehicle tracking system Haar-like features Real-time computing Pattern recognition (psychology) Kalman filter Engineering Face detection

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0.56

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Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Real-Time Vehicle Detection and Tracking Using Haar-Like Features and Compressive Tracking

Metrics

Citation History

Topics

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