Vision-based vehicle tracking using image alignment with symmetrical function

L. C. Cheung; Y. S. Moon

doi:10.1117/12.719134

7 May 2007 Vision-based vehicle tracking using image alignment with symmetrical function

L. C. Cheung, Y. S. Moon

Proceedings Volume 6566, Automatic Target Recognition XVII; 656617 (2007) https://doi.org/10.1117/12.719134
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

The large number of rear end collisions due to driver inattention has been identified as a major automotive safety issue. Even a short advance warning can significantly reduce the number and severity of the collisions. In this paper, we describe an image alignment based vehicle tracking method that employs only a single moving camera mounted on the driver's automobile as input, for use in detecting rear vehicles on highways and city streets. We also present a method to compute the relative distances between the rear vehicles and the driver's car. With the aid of symmetrical function and simplified image alignment tracking methodology, our methodology becomes relatively simple to implement using embedded system technology in the automobile environment with real-time multiple vehicles tracking and successful rate over 97%.

Citation Download Citation

L. C. Cheung and Y. S. Moon "Vision-based vehicle tracking using image alignment with symmetrical function", Proc. SPIE 6566, Automatic Target Recognition XVII, 656617 (7 May 2007); https://doi.org/10.1117/12.719134

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available