Improved Tracking of Multiple Vehicles Using Invariant Feature-Based Matching

Jaeyoung Choi; Jinwoo Choi; Young-Kyu Yang

doi:10.1007/978-3-540-77046-6_80

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Improved Tracking of Multiple Vehicles Using Invariant Feature-Based Matching

Jaeyoung Choi Jinwoo Choi Young-Kyu Yang

Year: 2007 Lecture notes in computer science Pages: 649-656 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-77046-6_80

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Keywords:

Computer vision Artificial intelligence Scale-invariant feature transform Computer science Frame (networking) Background subtraction Vehicle tracking system Tracking (education) Global Positioning System Tree (set theory) Tracking system Matching (statistics) Subtraction Process (computing) Feature extraction Real-time computing Pixel Mathematics Segmentation Kalman filter

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Improved Tracking of Multiple Vehicles Using Invariant Feature-Based Matching

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Citation History

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