product
2906777Moving Object Detection Using Background Subtractionhttps://www.gandhi.com.mx/moving-object-detection-using-background-subtraction-9783319073866/phttps://gandhi.vtexassets.com/arquivos/ids/2865404/7331e449-7006-4ab9-b569-6023fa3f3815.jpg?v=6383845569120300009761084MXNSpringer International PublishingInStock/Ebooks/<p>This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.</p>...2842468Moving Object Detection Using Background Subtraction9761084https://www.gandhi.com.mx/moving-object-detection-using-background-subtraction-9783319073866/phttps://gandhi.vtexassets.com/arquivos/ids/2865404/7331e449-7006-4ab9-b569-6023fa3f3815.jpg?v=638384556912030000InStockMXN99999DIEbook20149783319073866_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9783319073866_<p>This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.</p>(*_*)9783319073866_<p>This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.</p>...9783319073866_Springer International Publishinglibro_electonico_536c3f8c-e2a6-32b0-98b2-09e4bf524938_9783319073866;9783319073866_9783319073866Nabendu ChakiInglésMéxico2014-06-20T00:00:00+00:00Springer International Publishing