Titlebook: Distributed Embedded Smart Cameras; Architectures, Desig Christophe Bobda,Senem Velipasalar Book 2014 Springer Science+Business Media New Y

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https://doi.org/10.1057/9780230253124of computing fabrics suitable for embedded computer vision: FPGAs, GPUs, video signal processors, and heterogeneous multiprocessor system-on-chip. We then look at approaches to the design of a platform for distributed services in a smart camera network.

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Cosmopolitan

https://doi.org/10.1057/9780230253124rovides the ability to track vehicle taillights . 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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Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Camerasrovides the ability to track vehicle taillights . 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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A Survey of Systems-on-Chip Solutions for Smart Camerasnits and digital processing cores into a single chip has become reality, which is an increasing trend in different application domains, especially for distributed smart camera products. In this chapter, a survey of existing System-on-Chip solutions for distributed smart cameras able to capture and i

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Distributed Mobile Computer Vision: Advances, Challenges and Applicationson that is also accessible to a PC. The recent advances in the field of micro technology have also made possible to include a camera sensor in any mobile device. This innovation is now attracting both the research community and the industries that aim to develop mobile applications that exploit rece

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Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Camerase 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-mount