For the compilation of this dataset, examples from abandoned objects have been selected from the publicly available PETS 2006 Dataset.  PETS2006 contains multiple instances of abandoned luggaged at a public scenario, captured at different angles.  Such events can be considered as anomalous, and should be detected by alrgorithms that perform anomaly detection in video. The abandoned objects present in these sequences are of very small size relative to the average moving object, which makes the correct detection more challenging.

Training data and test data have are provided for each selected sequence. For training, the first frames of the video (~1000 frames) are used. The training video contains only normal behavior in the scene. A small portion of the video, containing an instance of the abandoned object (anomaly) is used as test sequence. Table 1 contains a summary of frame durations of each selected sequence.