NDLI: Real-time Object Detection by Road Plane Segmentation Technique for ADAS

Content Provider	IEEE Xplore Digital Library
Author	Balisavira, V. Pandey, V.K.
Copyright Year	2012
Abstract	Advanced Driver Assistance Systems (ADAS) are used for assisting the drivers by providing advice and warnings when necessary. CTA (Cross Traffic Alert) systems are a subset of ADAS used for detecting objects (viz., cars, trucks, pedestrians, static objects etc) by using one or more moving cameras, mounted on a vehicle. Usually, CTA systems can detect moving objects within region of interest (ROI). These systems have limitations in detecting static objects present in the RoI and often they fail to detect the objects in shadow regions. Moreover, such systems sometimes detect shadows as the objects. This paper presents a histogram back-projection based road-plane segmentation technique. Histogram back-projections' are applied on saturation and value channels of the video, to detect moving and non moving objects in the ROI. Robustness to the shadow is achieved by applying a logical operation on the back-projections of the saturation and the value channels of the video. Effectiveness of the technique is evaluated by applying the technique on several videos, captured under different scenarios, and by measuring true negatives and false positives for the objects. The technique is suitable for real time applications and can be employed in automatic back-up assistance during the host vehicle parking, blind spot detection, pedestrian detection, and other camera applications for the detection of the objects.
Starting Page	161
Ending Page	167
File Size	2010288
Page Count	7
File Format	PDF
ISBN	9781467351522
DOI	10.1109/SITIS.2012.34
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Roads Object detection Cameras Feature extraction Optical imaging ADAS Road plane segmentation Vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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