Titlebook: Robotics, Control and Computer Vision; Select Proceedings o Hariharan Muthusamy,János Botzheim,Richi Nayak Conference proceedings 2023 The

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AI-Based Real-Time Monitoring for Social Distancing Against COVID-19 Pandemicity. Various degrees of restriction have been required to stop, but it impacts an incalculable number of individuals and economic lives in addition to those directly affected by the disease. Governments and their citizens want to return to public life safely, but they lack the data visibility and to

阴谋

Human Activity Recognition in Video Sequences Based on the Integration of Optical Flow and Appearancowever, it is still a challenging problem due to inter- and intra-class variations in human activities, varying illumination conditions, viewpoint changes, etc. This work presents human activity recognition framework for motion activities recorded in realistic and multi-view environments. To represe

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Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaste requests which are represented as the tasks from the areas of interest include respective GPS coordinates from the Google Maps. The multi-agent system is assigned with these tasks following a two-stage approach. At first, the tasks are distributed for each agent based on the proximity of an agent

FEAS

Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19—A Studylligence. It also explains some recent studies based on the hybrid concepts of deep learning and image processing techniques in this domain. This paper is mainly focused on the set of studies that analyze the machine learning capabilities to detect facemasks through the scanning of people’s images.

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BIAS

Vision Transformers for Breast Cancer Classification from Thermal Imageseast cancer. Thermography is a non-contact and non-invasive imaging technique extensively used in the field of breast cancer detection. Thermography is studied as an efficient screening tool capable to detect breast cancer earlier than the traditional mammography methods. The computer-aided system c

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Driver Drowsiness Detection for Road Safety Using Deep Learning behind the wheels. With the rapid growth of the population, the number of accidents on the roads has increased dramatically, and many people have died as a result of those accidents. It’s a serious issue that needs to be addressed in order to reduce accidents. According to research conducted by the

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