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Moving Object Detection Using Background Subtraction

well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and;

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Moving Objects Detection Using Machine Learning

This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background;

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Moving Object Tracking in Video Sequences

techniques deliberated and implemented in this book are Template Matching, Fast Mean Shift and Kalman Filter where as for object detection background;

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Background Subtraction

Background subtraction is a widely used concept for detection of moving objects in videos. In the last two decades there has been a lot;

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Background Modeling and Foreground Detection for Video Surveillance

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;

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Background Modeling and Foreground Detection for Video Surveillance

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;

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Methods and Techniques for Fire Detection

other domains, such as multi-modal object recognition in other safety and security problems, with scientific importance for fire detection, as;

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Data Mining from Multimedia and Human Behavioral Data

Object recognitiondetection has always been a challenging topic for both computer scientists and psychologists. We study the categorical;

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Computational Intelligence Paradigms in Advanced Pattern Classification

recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection;

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Intelligent Video Surveillance Systems

will present the basic techniques of processing video from static cameras, starting with object detection and tracking. The author will;

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Object Oriented Software Development Using Java

Object-Oriented Software Development Using Java focuses on developing skills in designing software-particularly in writing well-designed;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

, you'll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed;

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Video object Tracking

, e.g. surveillance cameras, adaptive traffic lights, plane detection, vehicle navigation, human computer interaction, object-based video;

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Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order;

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Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order;

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Subtraction and Addition

Offers tips for solving an array of mathematical problems involving adding and subtraction, including adding money, using decimals, and;

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Building Computer Vision Projects with OpenCV 4 and C++

extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Work with new OpenCV functions to detect and;

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Geometric Constraints for Object Detection and Delineation

on object shape or scene content, presenting serious obstacles for the development of robust object detection and delineation techniques;

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Multimedia Communications, Services and Security

submissions. The papers address issues such as privacy and data protection using digital watermarking and other technologies; object and threat;

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Intelligent Video Surveillance

occlusion, modeling of cluttered background capable of efficient background subtraction for object detection, and spatial and temporal alignment;

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Trends and Advancements of Image Processing and Its Applications

several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking - including;

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Visual Saliency

computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient;

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Optimal Combining and Detection

cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The;

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