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Titlebook: Computer Vision Applications; Third Workshop, WCVA Chetan Arora,Kaushik Mitra Conference proceedings 2019 Springer Nature Singapore Pte Ltd

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Pose Estimation for Distracted Driver Detection Using Deep Convolutional Neural Networks,hieving state of the art results. We achieve an accuracy of 96.16% for the 10 class classification. We propose to deconstruct the problem into a binary classification problem and achieve an accuracy of 99.12% for the same. We take advantage of recent techniques of transfer learning combined with regularization techniques to achieve these results.
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Image Segmentation and Geometric Feature Based Approach for Fast Video Summarization of Surveillanc Combination Rule). We consider the summarized video as a combination of salient frames for a user defined time. We demonstrate the results using several videos in BL-7F dataset and compare the same with state of art techniques using retention ratio and condensation ratio as quality parameters.
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Conference proceedings 2019 in Hyderabad, India, in December 2018. The 10 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers focus on computer vision; industrial applications; medical applications; and social applications.
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1865-0929 VGIP 2018, in Hyderabad, India, in December 2018. The 10 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers focus on computer vision; industrial applications; medical applications; and social applications.978-981-15-1386-2978-981-15-1387-9Series ISSN 1
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Depth Augmented Semantic Segmentation Networks for Automated Driving,utomotive scenes. Typically depth is already computed in an automotive system to localize objects and path planning and thus can be leveraged for semantic segmentation. We construct two networks that serve as a baseline for comparison which are “RGB only” and “Depth only”, and we investigate the imp
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Optic Disc Segmentation in Fundus Images Using Anatomical Atlases with Nonrigid Registration,o severe vision impairment. In a recent estimate, the major causes of blindness are Cataract, Uncorrected refractive index, and Glaucoma. Thus in medical diagnosis, the retinal image analysis is a very vital task for the early detection of eye diseases such as Glaucoma, diabetic retinopathy (DR), Ag
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