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Video surveillance is of increasing importance to many applications. In this book, we investigate several key problems and develop new technologies for video surveillance systems. Two basic problems are investigated: automatic recognition of activities and optimization of video codec systems. Firstly, automatic activity recognition plays a key role in video surveillance. We develop new algorithms that can recognize human activities with good accuracy. The problems of recognition with limited training data and flexibility for recognition algorithms are also addressed. Furthermore,...

This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods...

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area. Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving. This book begins with an introduction to the task of video object tracking, including the most common problem settings. Given the...