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This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work...

The rapid expansion of the internet in the past years has rapidly increased the availability of digital data such as audio, images and videos to the public. The problem of protecting multimedia information becomes more and more important and a lot of copyright owners are concerned about protecting any illegal duplication of their data or work. This is an interesting challenge and this is probably why so much attention has been drawn toward the development of digital information protection schemes.Of the many approaches possible to protect visual data, digital watermarking is probably the one...