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.

UCSD background subtraction dataset contains videos with moving camera sequences.

Change Detection (CDNet2014) is a benchmark dataset for change detection in videos.

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...