Design and Implementation of Real Time System for Object Detection and Classification on Parallel Virtual Machine
نویسندگان
چکیده
This paper addresses the problem of implementing an object detection and classification system on a parallel virtual machine. Detection process was implemented using deformable template algorithm. Canny edge algorithm used to provide edge information need in template matching. The system gives descriptions about the shape, size, and orientation of the objects. To be implemented in industrial process, the system needs to meet certain time constrain. Previous research proved, the system's speed-performance is proportional to the number of object detected and model-used. Use of parallel virtual machine makes the system run 3.5 times faster compared to previous system using single processor.
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