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This paper presents GIMME (General Image Multiview Manipulation Engine), a highly flexible reconfigurable stand-alone mobile two-camera vision platform with stereo-vision capability. GIMME relies on reconfigurable hard-ware (FPGA) to perform application-specific low to medium-level image-processing at video-rate. The Qseven-extension enables additional processing power. Thanks to its compact design,...
Camera networks are important in a video surveillance system. Many surveillance systems research has been done; most of it utilizes a general purpose computer. However, the latest trend is to use small, task specific and low power computer to process and control the system; in another word using embedded systems. This paper presents a camera network localization algorithm to be implemented on a FPGA...
Trends of high power usage in portable consumer electronics and high speed designs is an important factor that biases the selection of an ASIC over a FPGA. ASICs are optimized to minimize the amount of logics used for a particular application; reductions in power are noticed when compared against FPGAs design for the same application. On the other hand, some FPGAs equipped with run-time reconfiguration,...
This paper describes the idea and the implementation of the robust algorithm dedicated to extraction of moving vehicles from real-time camera images for the evaluation of traffic parameters, such as the number of vehicles, their direction of movement and their approximate speed. The authors, apart from the careful selection of particular steps of the algorithm towards hardware implementation, also...
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