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Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. After the images are captured they must be processed and then sent to the server. In this paper the authors characterize the energy consumption of a visual sensor network test bed. Each node in the test bed consists of a "Single-board computer", equipped with a network card and a webcam. They assess the energy consumption of activities representative of the target application (e.g., perimeter surveillance) using a benchmark that runs (individual and combinations of) "Basic" tasks such as processing, image acquisition, and communication over the network.
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