6 datasets found

Simulated data used to compare the performance of Jekyll and Hyde against a more traditional supervised Machine Learning approach.

The PETS sequence is a sequence of images with a static background and sparse foreground. The dataset is used to evaluate the performance of the proposed algorithm.

The Hall sequence is a sequence of images with a static background and sparse foreground. The dataset is used to evaluate the performance of the proposed algorithm.

The BMC2012 dataset is a benchmark dataset for background subtraction in surveillance videos.

UCSD background subtraction dataset contains videos with moving camera sequences.

Background subtraction is a fundamental pre-processing task in computer vision. This task becomes challenging in real scenarios due to variations in the background for both...