Vehicle detection based on the use of shadow region and edge

Sangheon Jeong; Seongkoo Kang; Joongkyu Kim

doi:10.1117/12.2030790

19 July 2013 Vehicle detection based on the use of shadow region and edge

Sangheon Jeong, Seongkoo Kang, Joongkyu Kim

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782Y (2013) https://doi.org/10.1117/12.2030790
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

Automotive and advanced driver assistance systems have attracted a great deal of attention lately. In these systems, effective and reliable vehicle detection is important because such systems can reduce the number of accidents and save human’ lives. This paper describes an approach to detecting a forward vehicle using a camera mounted on the moving vehicle. In this paper, we describe two methods to detect a vehicle on the road. First, by using the vehicle’s shadow, we can obtain the general location of the vehicular candidate. Second, we can identify the strong vertical edges at the left and right position of a vehicle. By combining the shadows and the edge, we can detect the vehicle’s location. But other regions may also be detected, such as car windows, reflections, and illumination by the sun. In order to remove these other factors, defined as noises, we need to use a filter. After using the filter, we can calculate the exact location of the vehicle. Additionally, by using connected component labeling, we can obtain coordinates and establish the vehicle’s location. Connected component labeling find all connected components in an image and assigns a unique label to all points in the same component. These methods are very useful for vehicle detection and the development of the driving assistance systems, and they can protect drivers’ safety from having an accident.

Citation Download Citation

Sangheon Jeong, Seongkoo Kang, and Joongkyu Kim "Vehicle detection based on the use of shadow region and edge", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782Y (19 July 2013); https://doi.org/10.1117/12.2030790

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