LASIESTA is composed by many real indoor and outdoor sequences organized in different categories, each of one covering a specific challenge in moving object detection strategies. In contrast to other databases, it is fully annotated at both pixel-level and object-level (all the sequences have been labeled through the Tool for Semiautomatic Labeling TSLAB). Therefore, it is suitable not only for strategies exclusively focused on the detection of moving objects but also for those that integrate tracking algorithms in their detection approaches. Additionally, it contains sequences recorded with static and moving cameras and it also provides information about the moving objects remaining temporally static. C. Cuevas, E. M. Ynez, and N. Garca, Labeled dataset for integral evaluation of moving object detection algorithms: LASIESTA,Computer Vision and Image Understunding, vol. 152, pp. 103-117, 2016. (doi:10.1016/j.cviu.2016.08.005).

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