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Results for “"Niluthpol Chowdhury Mithun"”

4 results

Detection and Classification of Vehicles From Video Using Multiple Time-Spatial Images

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Niluthpol Chowdhury Mithun, Nafi Ur Rashid, S. M. Mahbubur Rahman

Journal: IEEE Transactions on Intelligent Transportation SystemsYear: 2012Citations: 143

Detection and classification of vehicles are two of the most challenging tasks of a video-based intelligent transportation system. Traditional detection and classification methods are computationally highly expensive and become unsuccessful in many cases such as occlusion among the vehicles and when...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Video-based tracking of vehicles using multiple time-spatial images

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Niluthpol Chowdhury Mithun, Tamanna Howlader, S. M. Mahbubur Rahman

Journal: Expert Systems with ApplicationsYear: 2016Citations: 33
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Automated detection of optic disc and blood vessel in retinal image using morphological, edge detection and feature extraction technique

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Niluthpol Chowdhury Mithun, Sourav Das, Shaikh Anowarul Fattah

Year: 2014Citations: 17

Reliable, fast and efficient optic disc localization and blood-vessel detection are the primary tasks in computer analyses of retinal image. Most of the existing algorithms suffer due to inconsistent image contrast, varying individual condition, noises and computational complexity. This paper presen...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Detection and classification of vehicles from a video using time-spatial image

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Nafi Ur Rashid, Niluthpol Chowdhury Mithun, Bhadhan Roy Joy, S. M. Mahbubur Rahman

Year: 2010Citations: 16

Detection and classification of vehicles are the most challenging tasks of a video-based intelligent transportation system. Traditional detection and classification methods are based on subtraction of estimated still backgrounds from a video to find out the moving objects. In general, these methods ...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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