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http://dx.doi.org/10.14400/JDC.2015.13.12.209

A Study on Efficient Vehicle Tracking System using Dynamic Programming Method  

Kwon, Hee-Chul (Dept. of Industrial Engineering, Gachon University)
Publication Information
Journal of Digital Convergence / v.13, no.12, 2015 , pp. 209-215 More about this Journal
Abstract
In the past, there have been many theory and algorithms for vehicle tracking. But the time complexity of many feature point matching methods for vehicle tracking are exponential. Also, object segmentation and detection algorithms presented for vehicle tracking are exhaustive and time consuming. Therefore, we present the fast and efficient two stages method that can efficiently track the many moving vehicles on the road. The first detects the vehicle plate regions and extracts the feature points of vehicle plates. The second associates the feature points between frames using dynamic programming.
Keywords
Vehicle Tracking; Feature Point; Matching Algorithm; Dynamic Programming; Plate Detection;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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