Optical Flow Analysis and Kalman Filter Tracking in Video Surveillance Algorithms
This focused technical work examines optical flow analysis and Kalman filter tracking within video surveillance algorithms. It introduces readers to methods for interpreting motion and tracking changing objects in video, making it a useful starting point for exploring computer vision, surveillance technology, and algorithmic tracking.
About This Book
Optical Flow Analysis and Kalman Filter Tracking in Video Surveillance Algorithms focuses on two important techniques used in the analysis of moving imagery.
The book addresses optical flow analysis, a method associated with interpreting motion in video, alongside Kalman filter tracking, a technique used for estimating and following changing states.
Its subject is video surveillance algorithms, making it relevant to readers exploring motion analysis, object tracking, and computational approaches to surveillance systems.
This work may serve as a focused reference for students, developers, and technical readers interested in the foundations of video-based tracking.
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