Abstract-This paper presents a parallelized architecture of multiple classifiers for face detection based on the Viola and Jones object detection method. This method makes use of the AdaBoost algorithm which identifies a sequence of Haar classifiers that indicate the presence of a face. We describe the hardware design techniques including image scaling, integral image generation, pipelined processing of classifiers, and parallel processing of multiple classifiers to accelerate the processing speed of the face detection system. Also we discuss the parallelized architecture which can be scalable for configurable device with variable resources. We implement the proposed architecture in Verilog HDL on a Xilinx Virtex-5 FPGA and show the parallelized architecture of multiple classifiers can have 3.3× performance gain over the architecture of a single classifier and an 84× performance gain over an equivalent software solution.
This paper discusses the current state of the art systems of real time telemetry on oceanographic moorings and describes the design requirements for making acoustic modem data telemetry a more widely used form of data telemetry for moored oceanographic applications. We present the design of a low cost 'mooring modem' and the results of an initial pool test for its prototype. Based on these results, we describe how the mooring modem meets the design requirements for moored oceanographic applications by looking at how it meets the requirements for a specific mooring example -the SB CHARM. We conclude by presenting the future work required to create a prototype mooring modem, which will be tested on the CHARM mooring. The end goal is the production of a cheap, low power acoustic modem for real-time data collection in moored oceanographic applications.
There has been an increasing interest in creating short-range, low data rate, underwater wireless sensor networks for scientific marine exploration and monitoring. However, the lack of an inexpensive, underwater acoustic modem is preventing the proliferation of these sensor networks. Thus, we are building an underwater acoustic modem starting with the most critical component from a cost perspective-the transducer. The design substitutes a commercial transducer with a homemade transducer using cheap piezoceramic material and builds the rest of the modem's components around the properties of the transducer to extract as much performance as possible. This letter describes the high level design, and cost and power characteristics of each of the major modem components: the transducer, the analog transceiver, and the digital signal processor of our modem prototype.
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