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Historical shipwrecks are important for many reasons, including historical, touristic, and environmental. Currently, limited efforts for constructing accurate models are performed by divers that need to take measurements manually using a grid and measuring tape, or using handheld sensors. A commercial product, Google Street View1, contains underwater panoramas from select locations around the planet...
In this paper, human action recognition scheme based on spatio-temporal variation pattern in region of interest (ROI) is proposed. In order to handle the multi-class human action problem in the proposed method two level classification is carried out. In the first level, the motion history image (MHI) is constructed based on optical flow vector, which is capable of classifying static and dynamic human...
In this paper, an efficient lip contour extraction scheme is proposed. From a given video frame, first the mouth region is extracted by using pixel threshold based binary conversion and detection of largest object in that region. Analysing the variation of pixel intensity pattern of RGB and a weighted colour plane, intensity ratio based lip region detection is performed, which provides accurate estimate...
This paper describes several feature extraction techniques, which will facilitate Automatic Speech Recognition (ASR) for Bangla speech. These techniques are applied on different sound-packets, which are essentially segments of Bangla speech. The key temporal regions in a sound-packet that contain vital information about the speech signal are identified. Some novel feature extraction methods are developed...
A vital issue for face recognition is to represent a face image by effective and efficient features. To-date a numerous feature extraction techniques have been proposed in the literature. Among them, content based image retrieval (CBIR) using curvelet transform captures accurate texture features to represent the image. In this paper, we propose a novel face recognition method that uses curvelet texture...
A new method for the detection and recognition of objects was developed for grayscale images. Obstacle detection is based on an efficient binarization and enhancement techniques followed by a suitable connected component analysis procedure. The grayscale object corresponding to the object identified in the binary image is then extracted. The second step deals with the recognition of these extracted...
Data mining refers to extracting or ldquominingrdquo knowledge from large amounts of data. Thus, it plays an important role in extracting spatial patterns and features. It is an essential process where intelligent methods are applied in order to extract data patterns. In this paper, we have proposed a technique with which it is possible to detect whether a given data set is erroneous. Furthermore,...
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