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

Stand: 2017-06-28 000000m 09:00:08 - Overview

ok1264
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Name (Institute + Shorttitle)Crowd Dataset 
Description (include details on usage, files and paper references)The crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense crowd in the public spaces in various scenarios such as pilgrimage, station, marathon, rallies and stadium. In addition, the sequences have different field of views, resolutions, and exhibit a multitude of motion behaviors that cover both the obvious and subtle instabilities. We annotate the datasets manually in order to ease researcher to evaluate their respective framework. It has been used in the paper: M.K. Lim, V.J. Kok, C.C. Loy and C.S. Chan "Crowd Saliency Detection via Global Similarity Structure ", in ICPR 2014.

There are two(2) folders associated with the dataset and a ReadMe file:

- Crowd Sequence
Folder name = Crowd Sequence
Total Sequences = 20

-Dataset Groundtruth
Folder name = Dataset Groundtruth
Total Files (text) = 20
The salient regions are defined by bounding box information in the form of either:
* Rectangle Properties (Frame no; Region Identifier; Minimum x-coordinate; Minimum y-coordinate; Maximum x-coordinate; Maximum y-coordinate)
* Example: 34 1 75 76 140 130

* Polygon Properties (Frame no; Region Identifier; Point 1 x-coordinate; Point 1 y-coordinate; Point 2 x-coordinate; Point 2 y-coordinate; Point 3 x-coordinate; Point 3 y-coordinate; Point 4 x-coordinate; Point 4 y-coordinate)
* Example: 1 11 153 182 323 121 342 173 170 232

If you use this dataset in your work, you should reference:
M.K. Lim, V.J. Kok, C.C. Loy and C.S. Chan "Crowd Saliency Detection via Global Similarity Structure ", in ICPR 2014, pp. 3957-3962.

@inproceedings{DBLP:conf/icpr/LimKLC14,
author = {Mei Kuan Lim and
Ven Jyn Kok and
Chen Change Loy and
Chee Seng Chan},
title = {Crowd Saliency Detection via Global Similarity Structure},
booktitle = {22nd International Conference on Pattern Recognition, {ICPR} 2014,
Stockholm, Sweden, August 24-28, 2014},
pages = {3957--3962},
year = {2014},
crossref = {DBLP:conf/icpr/2014},
url = {http://dx.doi.org/10.1109/ICPR.2014.678},
doi = {10.1109/ICPR.2014.678},
URL Linkhttp://cs-chan.com/project4.htm 
Files (#)40 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)crowd video detection anomaly scene understanding human pedestrian 
Last Changed2017-06-28 
Turing (2.12+3.25=?) :-)