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

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Consistent Human Tracking Over Self-organized and Scalable Multiple-camera Networksduced. Given the GPS locations of uncalibrated cameras, the system automatically detects the existence of camera link relationships within the camera network based on the routing information provided by Google Maps. The connected zones in any pair of directly-connected cameras are identified based o

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A Parallel Approach for Statistical Texture Parameter Calculation propose here a new and effective approach that outperforms the existing methods for the calculation of high order textural parameters. With a single processor, this approach is about . times faster than the co-occurrence matrix approach considered as classical, where . is the order of the textural

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Tracking by Detection Algorithms Using Multiple Cameras review approaches that detect and track targets using a single camera. After that, we explore the approaches that fuse multiple sources of information to enable tracking in a camera network. At last, we show an application that estimates the occupancy in a smart room.

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Multi-modal Sensing for Distracted Driving Mitigation Using Cameras and Crowdsourcingmobile phones while driving, 2007). The US government spends more than 10 billion dollars a year to address the aftermath of accidents caused due to distracted driving and driving in dangerous conditions.

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https://doi.org/10.1057/9780230253124nits 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