Abstract -Background subtraction is a widely used approoch for detecting moving objects @om static cameras. Mony different methods have been proposed over the recent years and both the novice and the exprt can be confused about iheir benefits and limitations. In order to overcome this problem, this poper provides a review of ihe main methods and an original categorisotion based on speed, memoy requirements and accuracy, Such o review can effectively guide ihe designer to select the most suitoble meihod for a given application in a principled way. Methods reviewed include parametric and non-porametric background density estimates and spatial correlation approaches.
In REF , a review of the main methods of background subtraction and an original categorisation based on speed, memory requirements and accuracy is presented.
Background subtraction techniques: a review
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
Computer Science