BOOK-CHAPTER

Improved Tracking of Multiple Vehicles Using Invariant Feature-Based Matching

Jaeyoung ChoiJinwoo ChoiYoung-Kyu Yang

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

Metrics

6
Cited By
0.70
FWCI (Field Weighted Citation Impact)
9
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

Related Documents

JOURNAL ARTICLE

Object Feature Extraction and Matching for Effective Multiple Vehicles Tracking

Du-Hyung ChoSeok‐Lyong Lee

Journal:   KIPS Transactions on Software and Data Engineering Year: 2013 Vol: 2 (11)Pages: 789-794
JOURNAL ARTICLE

Improved Locality affine-invariant feature matching

Yiyuan HeNanqing XiaXingsi LiuMin Xia

Journal:   2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Year: 2021 Pages: 832-836
JOURNAL ARTICLE

Feature-Based Vehicle Tracking Using Trajectory Matching

Young-Kee Jung

Journal:   IFAC Proceedings Volumes Year: 2001 Vol: 34 (4)Pages: 263-268
© 2026 ScienceGate Book Chapters — All rights reserved.