Zobrazeno 1 - 10 of 207 pro vyhledávání: '"N. K. Narayanan"'
2
Improved Vehicle Detection and Tracking Using YOLO and CSRT
Autor: I. C. Amitha, N. K. Narayanan
Publikováno v: Communication and Intelligent Systems ISBN: 9789811610882
Vehicle detection and tracking plays an important role in Intelligent Transportation Systems (ITS). This paper reports an improved vehicle detection and tracking performance of combined You Only Look Once (YOLO) and Discriminative Correlation Filter
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb329733f5f33ffaab7d11452efdf9c7
https://doi.org/10.1007/978-981-16-1089-9_35
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5
Static Gesture Classification and Recognition Using HOG Feature Parameters and k-NN and SVM-Based Machine Learning Algorithms
Autor: N. K. Narayanan, C. V. Sheena
Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811650772
The paper analyzes the effectiveness of histogram-oriented gradient (HOG) features in static hand gesture recognition (SHGR) using k-nearest neighbor (k-NN) and support vector machine (SVM) classifiers. The experiment is carried out on a database of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::051c1657cd8139a4693643ba93b7b861
https://doi.org/10.1007/978-981-16-5078-9_14
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6
Collaborative MSER and Faster R-CNN Model for Retrieval of Objects in Images
Autor: N. K. Narayanan, I. C. Amitha
Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9789811627088
Object detection and retrieval are one of the fast-growing fields of computer vision. Retrieval of objects in images can be performed through either traditional approaches or deep learning-based approaches. A method known as Faster Region-based Convo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1233c4388f0915cd84c9505aefd19ce
https://doi.org/10.1007/978-981-16-2709-5_51
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7
Object Detection Using YOLO Framework for Intelligent Traffic Monitoring
Autor: I. C. Amitha, N. K. Narayanan
Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811650772
This paper presents a new real-time intelligent traffic monitoring system. To perform the vehicle detection, a filtered You Only Look Once (YOLO) is used. The pre-trained YOLO framework can detect 80 objects. The proposed system is tested for three c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::387bbb8b4d95a20beab081886a6a976f
https://doi.org/10.1007/978-981-16-5078-9_34
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8
Detection of Microaneurysm in Retina Image using Machine Learning Approach
Autor: R. Deepa, N. K. Narayanan
Publikováno v: 2020 International Conference on Innovative Trends in Information Technology (ICITIIT).
Diabetic Retinopathy (DR) one of the severe eye disorder which causes damage to capillaries in retina due to increase in blood sugar levels. Process which examines DR and its severity is presently performed by eye specialists due to the unavailabilit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ae65449b3eec2df71e4e4119af04ad12
https://doi.org/10.1109/icitiit49094.2020.9071522
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9
Object Retrieval in Images using SIFT and R-CNN
Autor: I C Amitha, N K Narayanan
Publikováno v: 2020 International Conference on Innovative Trends in Information Technology (ICITIIT).
Image-based object retrieval has numerous applications in the field of machine vision to inquire from an appropriate image or video sequence for a given query object. The object retrieval task is conventionally carried out by a set of handcrafted alg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25e97a97e3b496619067fc0f54bf7c82
https://doi.org/10.1109/icitiit49094.2020.9071557
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10
Akademický článek
Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network
Autor: N. K. Narayanan, V. Kabeer
Publikováno v: International Journal of Computational Intelligence Systems, Vol 3, Iss 5 (2010)
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T f
Externí odkaz: https://doaj.org/article/550e95bcde9542ea9754bb2246763bda
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