This paper introduces an optimised method for extracting natural landmarks to improve localisation during RoboCup soccer matches. The method uses modified 1D SURF features extracted from pixels on the robot’s horizon. Consistent with the original SURF algorithm, the extracted features are robust to lighting changes, scale changes, and small changes in viewing angle or to the scene itself. Furth...

Growth of videos in today’s Internet usage is extensive. Different types of videos will be available in the Internet which among them are lecture videos. Students can make use of these videos, so there is a need to develop an automated system to search the required content only, rather than wasting the time in viewing the complete video. This can be developed into automated system, required ste...

Local feature matching has become a commonly used method to compare images. For mobile robots, a reliable method for comparing images can constitute a key component for localization and loop closing tasks. In this paper, we address the issues of outdoor appearance-based topological localization for a mobile robot over time. Our data sets, each consisting of a large number of panoramic images, h...

In open-access settings, high-quality resources are lucrative, yet fencing out potential entrants may be very costly. I examine the endogenous creation of property rights, focusing on the incentives that resource quality provides to close the commons. Analytical examples explore the incentives of locals to increase or decrease the strength of property rights conditional on how locals and nonloc...

Content-Based Image Retrieval (CBIR) is a challenging task which retrieves the similar images from the large database. Most of the CBIR system uses the low-level features such as colour, texture and shape to extract the features from the images. In Recent years the Interest points are used to extract the most similar images with different view point and different transformations. In this paper ...

Image noise always affects the clarity of the image and leads to blurring. However, the traditional de-noising methods cannot effectively remove the image noise especially the noise in regions contains rich detail information. In order to eliminate the noise, preserve better detail information of the images and enhance the de-noising effect of Contourlet wavelet transformation for images and cu...

Mean-Shift tracking is primarily used for carrying out localized search on an image frame using colour histograms. The application of mean-shift tracking directly to SURF features is limited due to the unavailability of sufficient number of key points for a given object. This paper proposes a method called re-projection to overcome this limitation so that the mean-shift algorithm can be used di...

The paper proposes a way of parallel processing of SURF and Optical Flow for moving object recognition and tracking. The object recognition and tracking is one of the most important task in computer vision, however disadvantage are many operations cause processing speed slower so that it can’t do real-time object recognition and tracking. The proposed method uses a typical way of feature extrac...

Most coastal structures have been built in surf zones to protect coastal areas. In general, the transformation of waves in the surf zone is quite complicated and numerous hazards to coastal communities may be associated with such phenomena. Therefore, the behavior of waves in the surf zone should be carefully analyzed and predicted. Furthermore, an accurate analysis of deformed waves around coa...

Cloud computing is an important part of today’s world because offloading computations is a method to reduce costs. In this paper, we investigate computing the Speeded Up Robust Features (SURF) using Fully Homomorphic Encryption (FHE). Performing SURF in FHE enables a method to offload the computations while maintaining security and privacy of the original data. In support of this research, we d...