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Recent advances in computing, communication, and sensor technology are pushing the development of many new applications. This trend is especially evident in pervasive computing, sensor networks, and embedded systems. Smart cameras, one example of this innovation, are equipped with a high-performance onboard computing and communication infrastructure,(More)
— The integration of advanced CMOS image sensors with high-performance processors into an embedded system facilitates new application classes such as smart cameras. A smart camera combines video sensing, video processing and communication within a single device. This paper reports on the prototype implementation of a smart camera for traffic surveillance.(More)
– In this paper, we present an approach for increasing service availability in intelligent video surveillance systems (IVS). A typical IVS system consists of various intelligent video sensors that combine image sensing with video analysis and network streaming. System monitoring and fault diagnosis followed by appropriate system reconfiguration mitigate(More)
Intelligent video surveillance (IVS) systems are based on the recent development of so called embedded smart cameras. Delivering a good service quality in IVS usually results in a higher level of computing activity and therefore in increased power consumption. This paper presents PoQoS, a novel approach that aims in maximizing the service quality (i.e., the(More)
Intelligent video surveillance (IVS) offers a large spectrum of different applications that have strict requirements on quality of service (QoS) and energy-efficiency. Recent embedded IVS systems need to deliver compressed video data in high quality while using devices that are partly solar- or battery-powered. In this paper we present PoQoS, a novel(More)
In this paper we present PoQoS, a novel approach for combined management of power-and quality of service (QoS) in distributed embedded video surveillance systems. PoQoS allows the implementation of hardware-tailored dynamic power management schemes for different individual QoS-levels. The proposed approach also offers an extensi-ble model for implementing(More)
In this paper, we present an approach for improving fault-tolerance and service availability in intelligent video surveillance (IVS) systems. A typical IVS system consists of various intelligent video sensors that combine image sensing with video analysis and network streaming. System monitoring and fault diagnosis followed by appropriate dynamic system(More)
— Intelligent video surveillance (IVS) offers a large spectrum of different applications that have strict quality of service (QoS)-requirements. Beside high demands in computing performance, power efficiency is another major concern in these applications. For instance, recent IVS systems need to deliver compressed video data in high quality while using(More)
Intelligent video surveillance (IVS) systems are based on so called smart cameras that combine video sensing, processing and communication within a single embedded device. Maximizing the service-level and minimizing the power consumption are two important but conflicting objectives in IVS. In this paper we present a novel software framework for power-aware(More)
Smart cameras combine video sensing, video processing and communication onto a single embedded device. Due to their high onboard processing and communication power they are able to perform sophisticated video tasks in real time and can, therefore, react to changes in the camera's environment. Such embedded smart cameras are excellent candidates for reactive(More)