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Erschienen in:
Platforms and Architectures for Distributed Smart Cameras Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

6. Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras

verfasst von : Akhan Almagambetov, Senem Velipasalar

Erschienen in: Distributed Embedded Smart Cameras

Verlag: Springer New York

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Abstract

An important aspect of collision avoidance and driver assistance systems, as well as autonomous vehicles, is the tracking of vehicle taillights and the detection of alert signals (turns and brakes). In this chapter, we present the design and implementation of a robust and computationally lightweight algorithm for a real-time vision system, capable of detecting and tracking vehicle taillights, recognizing common alert signals using a vehicle-mounted embedded smart camera, and counting the cars passing on both sides of the vehicle. The system is low-power and processes scenes entirely on the microprocessor of an embedded smart camera. In contrast to most existing work that addresses either daytime or nighttime detection, the presented system provides the ability to track vehicle taillights and detect alert signals regardless of lighting conditions. The mobile vision system has been tested in actual traffic scenes and the obtained results demonstrate the performance and lightweight nature of the algorithm.

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Vorheriges Kapitel Distributed Mobile Computer Vision: Advances, Challenges and Applications
Nächstes Kapitel Automatic Fall Detection and Activity Classification by a Wearable Camera
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Metadaten
Titel
Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Cameras
verfasst von
Akhan Almagambetov
Senem Velipasalar
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Distributed Embedded Smart Cameras

Print ISBN: 978-1-4614-7704-4

Electronic ISBN: 978-1-4614-7705-1

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4614-7705-1_6

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