« View All Resources
Background Modeling and Foreground Detection for Video Surveillance
tbouwmans - Posted on January 28, 2015 at 4:10 am.
solicited contributions to address these wide range of challenges met in
background modeling and foreground detection for video-surveillance.
Thus, it groups the works of the leading teams in this field over the
recent years. By incorporating both existing and new ideas, this
handbook gives a complete overview of the concepts, theories,
algorithms, and applications related to background modeling and
foreground detection. First, an introduction to background modeling and
foreground detection for beginners is provided by surveying statistical
models, clustering models, neural networks and fuzzy models.
Furthermore, leading methods and algorithms for detecting moving objects
in video surveillance are presented. A description of recent complete
datasets and codes are given. Moreover, an accompanying website is
provided. This website contains the list of chapters, their abstract and
links to the demos. It allows the reader to have a quick access to the
main resources, datasets and codes in the field. Finally, with this
handbook, we aim to bring a one-stop solution, i.e., access to a number
of different models, algorithms, implementations and benchmarking
techniques in a single volume. The handbook consists of five parts.