Comparison of Various Algorithms used for Object Detection
نویسنده
چکیده
Recently, demand for object recognition is rising with the increase of digital images. In this paper, a performance comparison of some object recognition techniques has been made. In a dataset, images usually contain wide background areas other than the object area which is focused in the recognition. This unnecessary areas should be ignored to increase the efficiency and accuracy of object detection. In this paper, we also discuses some applications of object detection in real time world and concentrate on crack detection as an application of object detection. Crack detection of objects is used in various manufacturing companies like utensil companies and spare part manufacturing companies.
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