UCSD Pedestrian Database
Statistical Visual Computing Lab

ucsdpeds.zip 791.87MB
Type: Dataset
Tags:
Abstract:

This is the UCSD pedestrian database used in “Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures”

Database Format

The database contains video of pedestrians on UCSD walkways, taken from a stationary camera. All videos are 8-bit grayscale, with dimensions 238 × 158 at 10 fps. The database is split into scenes, taken from different viewpoints (currently, only one scene is available...more are coming). Each scene is in its own directory vidX where X is a letter (e.g. vidf), and is split into video clips of length 200 named vidfXY 33 ZZZ.y, where Y and ZZZ are numbers. Finally, each video clip is saved as a set of .png files. Examples from each scene are presented in Figure 1. If you use this database, please reference.


Year: 2008

URL: http://www.svcl.ucsd.edu/projects/peoplecnt/db/readme.pdf
License: No license specified, the work may be protected by copyright.

Bibtex:
@article{,
title= {UCSD Pedestrian Database},
journal= {},
author= {Statistical Visual Computing Lab},
year= {2008},
url= {http://www.svcl.ucsd.edu/projects/peoplecnt/db/readme.pdf},
abstract= {This is the UCSD pedestrian database used in “Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures”

## Database Format

The database contains video of pedestrians on UCSD walkways, taken from a stationary camera.
All videos are 8-bit grayscale, with dimensions 238 × 158 at 10 fps. The database is split into
scenes, taken from different viewpoints (currently, only one scene is available...more are coming).
Each scene is in its own directory vidX where X is a letter (e.g. vidf), and is split into video clips
of length 200 named vidfXY 33 ZZZ.y, where Y and ZZZ are numbers. Finally, each video clip is
saved as a set of .png files. Examples from each scene are presented in Figure 1. If you use this
database, please reference.


![](https://i.imgur.com/VTk15Rx.png)},
keywords= {},
terms= {}
}

Hosted by users:

Send Feedback Start
   0.000003
DB Connect
   0.000441
Lookup hash in DB
   0.004954
Get torrent details
   0.001806
Get torrent details, finished
   0.000545
Get authors
   0.000031
Parse bibtex
   0.000361
Write header
   0.000558
get stars
   0.004357
home tab
   0.001815
render right panel
   0.000024
render ads
   0.000057
fetch current hosters
   0.012907
Done