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The deceased was identified as Ahasan Kabir Khan. Besides, a motorcyclist died after a trash compactor of Dhaka North City Corporation (DNCC) hit him in the capital’s Panthapath area on Thursday afternoon. He said they have launched a drive to arrest Harun. “Harun was supposed to drive the vehicle, but instead of Harun it was run by Rasel.”
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#Rasel raihan driver#
Talking to reporters on Thursday, Abdul Ahad, deputy commissioner (Motijheel division) of Dhaka Metropolitan Police, said Harun was the driver of the vehicle assigned by the city corporation. Police said a conservancy worker named Rasel Khan was driving the garbage truck during the accident. On Wednesday, second-year student of Notre Dame College Nayeem Hasan was killed after being hit by a garbage-carrying vehicle of Dhaka South City Corporation (DSCC) in Gulistan area. In the capital, two people, including a student of Notre Dame College, have met the tragic end of their life in two separate road accidents involving garbage vehicles of the two Dhaka city corporations in a span of 24 hours.
#Rasel raihan license#
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited ( CC BY 4.0 ).Casualties on roads and highways have turned into a regular phenomenon in the capital and elsewhere across the country. Shafiur Raihan Shafi, and Amit Kumar Kundu, "A Bag-of-Words Based Feature Extraction Scheme for American Sign Language Number Recognition from Hand Gesture Images," International Journal of Machine Learning and Computing vol. (e-mail: Shafiur Raihan Shafi is with the Department of Computer ScienceĪnd Engineering, Southeast University, Dhaka, Bangladesh Kumar Kundu was with the Department of Electrical andĮlectronics Engineering, Uttara University, Dhaka, Bangladesh Rasel Ahmed Bhuiyan, Abdul Matin, Md. Rasel Ahmed Bhuiyan and Abdul Matin are with the Department ofĬomputer Science and Engineering, Uttara University, Dhaka, Bangladesh Gesture recognition (HGR), American sign language (ASL), Index Terms-Human computer interaction (HCI), hand For validation, very largeĮxperiments are done on two large ASL number-recognitionĭatasets the proposed method shows superior performance inĬlassifying the numbers, achieving an F1 score of 99.92% in the Neighbors (kNN) classifier is employed utilizing the BoW For the purpose of classification, the K-nearest Shown to provide distinguishable features for classification ofĪSL numbers. Next, the vocabularies are used as bin centersįor BoW histogram construction.
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In this method, theįirst step is to obtain the set of representative vocabularies byĪpplying a K-means clustering algorithm to a few randomlyĬhosen images. On a bag-of-words (BoW) model for automatic recognition ofĪmerican Sign Language (ASL) numbers. Images is a tough task because of the many parametersĪssociated with them. In addition, feature extraction from hand gesture In this field, however, highĪccuracy and robustness are both needed both present a majorĬhallenge. Of applications exists for hand gesture recognition techniques, The interaction between humans and machines. Shafiur Raihan Shafi, and Amit Kumar KunduĪbstract-Human Computer Interaction (HCI) focuses on