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Abstract: The work presented in this paper proposes a set of techniques to animate chess moves which are printed on a chess book. Those techniques include (1) extraction of chess moves from an image of printed page, (2) recognition of chess moves from the extracted image, and (3) displaying digitally encoded successive moves as an … Read more
Abstract. Advanced driving assistance systems (ADAS) could perform basic object detection and classification to alert drivers for road conditions, vehicle speed regulation, and etc. With the advances in the new hardware and software platforms, deep learning has been used in ADAS technologies. Traffic signs are an important part of road infrastructure. So, it is very … Read more
In this study we present a two-step map/reduce framework to stitch satellite mosaic images. The proposed system enable recognition and extraction of objects whose parts falling in separate satellite mosaic images. However this is a time and resource consuming process. The major aim of the study is improving the performance of the image stitching processes … Read more
This paper provides with the background of the research that will investigate into distributed and scalable big data framework for stitching of mosaic satellite images and object extraction. It has explained the motivation of the research and the methodologies and plan of work to be undertaken. The current stage of the research is focusing initially … Read more
In this study, we focus on animating chess games recorded on chess informant. This involves recognition of chess characters as well as moves and playing them on chessboard. The proposed technique eliminates false recognitions by means of controlling possible moves in accordance with the rules of chess (semantics). The paper produces solution for figurine algebraic … Read more