Wallflower paper測試資料集（原Test Images for Wallflower Paper），wallflowerpaper

Wallflower paper測試資料集（原Test Images for Wallflower Paper），wallflowerpaper

原文：

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.

譯文：

本頁包含我們Wallflower paper的測試圖片。我們對七種不同的映像序列測試了幾個不同的背景維護演算法。對於每一個測試映像序列，該演算法的輸出是一個被分割的映像前景和背景。

七個不同的測試序列中每一個都代表一個背景維護演算法中不同的，有潛在的問題的情境。一般，我們用前100幅映像序列來進行訓練，而用剩餘的映像序列來進行評估。我們將評估的映像和手動分割映像進行了比較。

我們已經對七個測試情境中的每一個建立了zip檔案。每個zip檔案包含訓練映像，測試映像以及手動分割的評價映像，所有都是BMP格式。每個zip檔案還包含一個“script.txt”檔案，具體說明哪些映像序列用來訓練，測試，評價。

下表顯示樣本映像和給的FTP站台連結zip檔案。

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)

Wallflower 映像測試集打包下載: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, September 1999, Kerkyra, Greece, pp. 255-261, IEEE Computer Society Press.