Vehicle classification framework: a comparative study

Author:

Ambardekar Amol,Nicolescu Mircea,Bebis George,Nicolescu Monica

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference30 articles.

1. USDOT: USDOT intelligent transportation systems research. 2011. http://www.fhwa.dot.gov/research/ . Accessed 22 Jan 2013

2. Ang D, Shen Y, Duraisamy P: Video analytics for multi-camera traffic surveillance. Paper presented at the second international workshop on computational transportation science, Seattle, WA, USA; 2009:25-30.

3. Ambardekar A, Nicolescu M, Bebis G: Efficient vehicle tracking and classification for an automated traffic surveillance system. Paper presented at the international conference on signal and image processing, Kailua-Kona, HI, USA; 2008:1-6.

4. Ma X, Grimson W: Edge-based rich representation for vehicle classification. Paper presented at the international conference on computer vision, New York, NY, USA; 2006:1185-1192.

5. Turk M, Pentland A: Eigenfaces for recognition. J. Cogn. Neurosci. 1991, 3(1):71-86. 10.1162/jocn.1991.3.1.71

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