Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-04-28 000000m 17:58:27 - Overview

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Name (Institute + Shorttitle)ICG Lab 6 (Multi-Camera Multi-Object Tracking) 
Description (include details on usage, files and paper references)The ICG Lab 6 (Multi-Camera Multi-Object Tracking) dataset contains 6 indoor people tracking scenarios recorded at our laboratory using 4 static Axis P1347 cameras:

Changing appearance (Chap): This sequence depicts a standard surveillance scenario, where 5 people move unconstrained within the laboratory. Throughout the scene, the people change their visual appearance by putting on jackets with significantly different colors than their sweaters.

Leapfrogs (Leaf 1 & 2): These scenarios depict leapfrog games where players leap over each others stooped backs. Specific challenges of these sequences are the spatial proximity of players, out-of-plane motion, and difficult poses.

Musical chairs (Much): This sequence shows 4 people playing musical chairs and a non-playing moderator who starts and stops the recorded music. Due to the nature of this game, this sequence exhibits fast motion, as well as crowded situations, e.g., when all players race to the available chairs. Furthermore, sitting on the chairs is a rather unusual pose for typical surveillance scenarios and violates the commonly used constraint of standing persons.

Pose: This sequence shows up to 6 people in various poses, such as standing, walking, kneeling, crouching, crawling, sitting, and stepping on ladders.

Table: This scenario exhibits significant out-of-plane motion as up to 5 people walk and jump over a table.
For each scenario, we provide the synchronized video streams, the full (extrinsic & intrinsic) camera calibration, manually annotated groundtruth for every 10th frame, as well as a top-view model of the ground-plane.

Datasets (~614 MB), evaluation code & protocol (~32 KB, MATLAB)


Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities (bib)
Horst Possegger, Sabine Sternig, Thomas Mauthner, Peter M. Roth, and Horst Bischof
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 
URL Linkhttp://lrs.icg.tugraz.at/download.php#lab6 
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Tags (single words, spaced)multiview pedestrian tracking detection object laboratory camera calibration evaluation segmentation graz 
Last Changed2017-04-28 
Turing (2.12+3.25=?) :-)