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Compressive sensing lets researchers reconstruct high-resolution data from fewer samples, which could alleviate the data deluge in large-scale and multimodal camera networks. The Web extra at http://youtu.be/oVwdIr836WI is a video demonstrating how compressive sensing lets researchers reconstruct high-resolution data from fewer samples, which could alleviate the data deluge in large-scale multimodal...
The main challenges in smart camera networks come from the limited capacity of network communications. Indeed, wireless protocols such as the IEEE 802.15.4 protocol target low data rate, low power consumption and low cost wireless networking in order to fit the requirements of sensor networks.
Embedded systems have limited processing power, memory and energy. When camera sensors are added to an embedded system, the problem of limited resources becomes even more pronounced. In this paper, we introduce two methodologies to increase the energy-efficiency and battery-life of an embedded smart camera by hardware-level operations when performing object detection and tracking. The CITRIC platform...
Embedded smart cameras have limited processing power, memory and energy. In this paper, we introduce two methodologies to increase the energy-efficiency and the battery-life of an embedded smart camera by hardware-level operations when performing foreground object detection. We use the CITRIC platform as our embedded smart camera. We first perform down-sampling at hardware level on the micro-controller...
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