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Cameras Record Object Density More Accurately

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Crowd counting — the process of obtaining information on the density or number of objects such as vehicles or people — can benefit from the same deep learning techniques that have been used for image and video processing. Scientists at Japan Advanced Institute of Science and Technology (JAIST), in collaboration with researchers at Sirindhorn International Institute of Technology (SIIT) in Thailand, developed a way to achieve higher performance in crowd counting by using a backward connection in a deep neural network (DNN). The estimation network proposed by the researchers...Read full article

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    Published: July 2020
    Glossary
    machine vision
    Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
    Research & TechnologyeducationAsia-PacificJapan Advanced Institute of Science and TechnologyImagingneural networksmachine visionSensors & Detectorssmart camerascrowd countingobject identificationindustrialdeep neural networksThe News Wire

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