NDLI: Real-time vehicle detection with a single camera using shadow segmentation and temporal verification

Content Provider	IEEE Xplore Digital Library
Author	Rosebrock, D. Rilk, M.
Copyright Year	2012
Description	Author affiliation: Institut für Robotik und Prozessinformatik, Technische Universität Braunschweig, Germany (Rosebrock, D.; Rilk, M.)
Abstract	Vehicle detection with a monocular video sensor offers significant potential in a wide area of promising automotive applications. In this work the shadows in daylight scenes are used to detect vehicles in low-quality camera images and determine their positions and velocities in relation to the own vehicle. We propose a new algorithm that segments shadows in a top-down-view. In contrast to other works no specific thresholds or strong shadow edges are needed. Instead we binarize the image at multiple thresholds and analyze the results to generate vehicle position hypotheses. These hypotheses are verified with a RANSAC-based temporal verification approach. The accuracy of our method is evaluated using monocular real world sequences and ground truth data. Our algorithm works robustly under various lighting conditions in real-time at full video frame rate.
Starting Page	3061
Ending Page	3066
File Size	1316086
Page Count	6
File Format	PDF
ISBN	9781467317375
ISSN	21530858
e-ISBN	9781467317368
DOI	10.1109/IROS.2012.6385625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-07
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Image segmentation Cameras Image edge detection Robustness Lighting Vehicle detection
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software

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