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

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A Deep Learning Paradigm for Automated Face Attendance,important role in any academic organization. Manual attendance system is very time consuming and tedious. On the other hand, automatic attendance system through face recognition using CCTV camera can be fast and can reduce the man-power involved in that process. Here, we have pipelined one of the be

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Dynamic Image Networks for Human Fall Detection in 360-degree Videos,ous self care systems for providing a quick assistance. The three basic approaches used for fall detection include non-invasive vision based devices, ambient based devices and wearable devices. The paper tries to improve upon the state-of-art of accuracy to 98% using vision based system. This was ac

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Pose Estimation for Distracted Driver Detection Using Deep Convolutional Neural Networks,s occur due to distracted driver. We attempt to create a warning system which will make the driver attentive again. This paper focuses on a simple yet effective Convolutional Neural Network technique which can help us to detect if the driver is safely driving or is distracted which is a binary class

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