Wallflower paper Test dataset (formerly Test Images for Wallflower Paper), wallflowerpaper

Wallflower paper Test dataset (formerly Test Images for Wallflower Paper), wallflowerpaper

Original article:

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. 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 and gives links to the ftp site with the. zip files.

Translation:

This page contains our Wallflower paper test images. We tested several background maintenance algorithms for seven different image sequences. For each test image sequence, the output of this algorithm is a segmented image foreground and background.

Each of the seven different test sequences represents a scenario with different background maintenance algorithms and potential problems. Generally, we use the first 100 Image Sequences for training and the remaining image sequences for evaluation. We compared the evaluated image with the manually segmented image.

We have created a zip file for each of the seven test scenarios. Each zip file contains training images, test images, and manually separated rating images, all of which are in BMP format. Each zip file contains a script.txt file, which specifies the image sequence used for training, testing, and evaluation.

The following table shows the sample image and the FTP site link zip file.

Scenario	First Training Image	Evaluation Image	Hand-Segmented Evaluation Image	Notes	. Zip File
Moved Object				Chair is moved	MovedObject.zip (79 MB)
Time of Day				Lights gradually brighten simulating moving sun	TimeOfDay.zip (193 MB)
Light Switch				Person switches on light	LightSwitch.zip (106 MB)
Waving Trees				Tree moving in background	WavingTrees.zip (14 MB)
Camouflage				Static foreground occludes dynamic background	Camouflage.zip (12 MB)
Bootstrapping				No pure background training available	Bootstrap.zip (145 MB)
Foreground Aperture				Trained on sleeping person who wakes up	ForegroundAperture.zip (100 MB)

Package and download the Wallflower image Test Set: Wallflower dataset

Paper Citation: Kentaro Toyama, John Krumm, Barry Brumitt, Brian Meyers, "Wallflower: Principles and Practice of Background Maintenance", Seventh International Conference on Computer Vision, kernel 1999, Kerkyra, Greece, pp. 255-261, IEEE Computer Society Press.