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Road traffic accident is one of the major causes of death in Bangladesh. In this article, we propose a method that uses road side video data to learn the traffic pattern and uses vision based techniques to track and determine various kinetic features of vehicles. Finally, the proposed method detects anomaly (possibility of accident) and accidents on the road. The proposed method shows approximately...
This paper presents our research in text mining for discovering important engineering fault diagnostic knowledge from unstructured and verbatim text descriptions. In particular we focus on developing machine learning algorithms for detecting documents that contain descriptions of systematic failures and root causes to the faults. We developed a machine algorithm based on entropy analysis to extract...
Autonomous vehicles are increasingly used for transportation of supply and goods. This is done mainly indoors. In outdoor scenarios, a reliable vision system is crucial for the overall system performance. The restriction of the reliability of this vision system is caused by light changes. To overcome the problem of varying lightning conditions, thermal infra-red cameras are often used. This paper...
Road and traffic sign recognition has been of great interest for many years. This paper presents an approach to recognize Swedish road and traffic signs by using support vector machines. We focus on recognizing seven categories of traffic sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for...
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