This page contains the test images that we used for our Wallflower paper. We tested several different background maintenance algorithms on seven different image sequences. For each test image in the sequence, the output of the algorithm was an image segmented into background and foreground pixels.
Each of the seven different test sequences represents a different, potentially problematic scenario for background maintenance. In general we used the first 100 images in each sequence for training. We then ran each algorithm on the remainder of the sequence up to a prespecified evaluation image. We compared the algorithm’s result on the evaluation image to a hand-segmented version of the evaluation image.
We have created one .zip file for each of the seven test scenarios available under the ‘Downloads’ tab below. Each .zip file contains the training images, test images, and hand-segmented evaluation image for comparison, all in BMP format. Each .zip file also contains a file called “script.txt” that gives a short description of the events in the sequence and specifies which images are used for training, testing, and evaluation.
The table below shows sample images for each of the seven test scenarios.
For questions about these test images, please contact John Krumm at Microsoft Research.