In recent years, extensive study has been performed to detect and recognize traffic signs. Traffi... more In recent years, extensive study has been performed to detect and recognize traffic signs. Traffic sign are essential to road safety. Traffic signs play an essential role in directing and controlling the behaviors of road users to provide convenience and to reduce traffic accidents. Traffic sign provide essential information for warning, guiding people to make their movements easier, Safer and more convenient. Traffic signs are detect by analyze color information contained on the images, having ability of detection and identification of traffic signs even with bad visual artifacts those originate from some weather conditions or other circumstances. The system is to detect traffic signs correctly so that drivers can be alerted and react properly to the encountered traffic situations. We have used feature based method for traffic sign detection. In this method the image of the traffic sign was cropped and matched with the original image, identifying the key points in both the images, ...
International Journal of Computer Applications, 2017
This paper presents a survey on the detection and recognition of traffic signs which has a number... more This paper presents a survey on the detection and recognition of traffic signs which has a number of important application areas that include advanced driver assistance systems, road surveying and autonomous vehicles. This has been thoroughly studied for a long time. But still it remains a challenging problem in computer vision due to the different types and the huge variability of informations present in them. This problem can be divided into two stages; first stage will be detection of region that cantains traffic sign candidates and second will be character recognition. For the detection and recognition of text and sign from traffic boards, appropriate methods must be applied to obtain accuracy. This method can be achieved by doing a survey on different methods used to detect and recognize text and signs from traffic boards. In this paper, various techniques for the detection and recognition of traffic signs are explained. A comparitive study is performed on these techniques and their performance is explained.
In this paper, we analyze the problem of grid resource brokering in the presence of economic info... more In this paper, we analyze the problem of grid resource brokering in the presence of economic information about the price of resources. We examine in detail the main tasks that a resource broker has to carry out in this particular context, like resource discovery and selection, job scheduling, job monitoring and migration, etc. Then, we propose an extension of the grid resource information service schema to deal with this kind of economic information, and we evaluate different optimization criteria for job scheduling and migration, combining both performance and economic information. The experimental application benchmark has been taken from the finance field, in particular a Monte Carlo simulation for pricing European financial options.
In recent years, extensive study has been performed to detect and recognize traffic signs. Traffi... more In recent years, extensive study has been performed to detect and recognize traffic signs. Traffic sign are essential to road safety. Traffic signs play an essential role in directing and controlling the behaviors of road users to provide convenience and to reduce traffic accidents. Traffic sign provide essential information for warning, guiding people to make their movements easier, Safer and more convenient. Traffic signs are detect by analyze color information contained on the images, having ability of detection and identification of traffic signs even with bad visual artifacts those originate from some weather conditions or other circumstances. The system is to detect traffic signs correctly so that drivers can be alerted and react properly to the encountered traffic situations. We have used feature based method for traffic sign detection. In this method the image of the traffic sign was cropped and matched with the original image, identifying the key points in both the images, ...
International Journal of Computer Applications, 2017
This paper presents a survey on the detection and recognition of traffic signs which has a number... more This paper presents a survey on the detection and recognition of traffic signs which has a number of important application areas that include advanced driver assistance systems, road surveying and autonomous vehicles. This has been thoroughly studied for a long time. But still it remains a challenging problem in computer vision due to the different types and the huge variability of informations present in them. This problem can be divided into two stages; first stage will be detection of region that cantains traffic sign candidates and second will be character recognition. For the detection and recognition of text and sign from traffic boards, appropriate methods must be applied to obtain accuracy. This method can be achieved by doing a survey on different methods used to detect and recognize text and signs from traffic boards. In this paper, various techniques for the detection and recognition of traffic signs are explained. A comparitive study is performed on these techniques and their performance is explained.
In this paper, we analyze the problem of grid resource brokering in the presence of economic info... more In this paper, we analyze the problem of grid resource brokering in the presence of economic information about the price of resources. We examine in detail the main tasks that a resource broker has to carry out in this particular context, like resource discovery and selection, job scheduling, job monitoring and migration, etc. Then, we propose an extension of the grid resource information service schema to deal with this kind of economic information, and we evaluate different optimization criteria for job scheduling and migration, combining both performance and economic information. The experimental application benchmark has been taken from the finance field, in particular a Monte Carlo simulation for pricing European financial options.
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Papers by Dilip Solanki