Traffic sign recognition is a difficult task if we aim at detecting and recognizing signs in images captured from unfavorable environments. Complex background, weather, shadow, and other lighting-related problems may make it difficult to detect and recognize signs in the rural as well as the urban areas. We employ discrete cosine transform and singular value decomposition for extracting feature...

In this project, we designed an advanced driver assistant system with three functions: traffic sign recognition, lane deviation detection, and car make identification. The traffic sign recognition implements Viola and Jones detector to accurately detect the traffic sign ahead. Hough transforms and edge detection are used in the lane deviation detection. For vehicle make identification, two mode...

The aims of the present study are: a) to investigate how children of average ages 6 and 8 segment a musical piece during real-time listening, b) to compare children’s indicated segment boundaries with boundaries obtained by the segmentation of the piece by adults (musicians and nonmusicians), and c) to compare the adults’ and children’s segmentation profiles to the structural boundaries predict...

Driver assistance systems are meant to support drivers with driving process in order to avoid traffic accidents, speed up the traffic and have a higher control over the traffic in general. There are a lot of systems which give support to the drivers, such as adaptive cruise control, traffic sign recognition, automatic parking, etc. In this paper we focus on the vehicular communication systems. ...

In this study, traffic signs are aimed to be recognized and identified from a video image which is taken through a video camera. To accomplish our aim, a traffic sign recognition program has been developed in MATLAB/Simulink environment. The target traffic sign are recognized in the video image with the developed program.

Detection and recognition of traffic signs is an essential task of regulating the traffic, guiding and warning driver’s pedestrians. In traffic sign detection research are categorized into three groups. The first group of researchers believes that traffic sign detection colors are important information by which traffic signs can be detected and classified. The second group believes that detecti...

Sybil detection is a crucial task to protect online social networks (OSNs) against intruders who try to manipulate automatic services provided by OSNs to their customers. In this paper, we first discuss the robustness of graph-based Sybil detectors SybilRank and Integro and refine theoretically their security guarantees towards more realistic assumptions. After that, we formally introduce adver...