MuCCD: MultiCamera Carpark Dataset

Last updated on the 6th June 2014

This dataset has been put together by a project team based at Kingston University's Digital Imaging Research Centre, the University of Santiago de Chile's Department of Informatic Engineering and the College of Information and Management Science, Henan Agricultural University (PRC).

The updates in 2014 done as part of a Chair of Excellence stay at the Applied Artificial Intelligence Group of the Universidad Carlos III de Madrid

We make the data available to the researchers in computer vision community through a password protected server at the Digital Imaging Research Centre of Kingston University London. The data may be accessed by sending an Email (subjected "MuCCD Data Request") to Prof Sergio A Velastin at sergio.velastin@ieee.org giving the names and email addresses of the researchers who wish to use the data, their main purposes and confirm that the data will only be used for research purposes, by returning a signed copy of this Agreement. We request this to build a list of people using this dataset to form a "MuCCD community" with whom to communitcate.

If you publish work that uses this dataset, please use the following reference:

[to be completed: Fei Yin, Dimitrios Makris, Sergio A. Velastin and Tim Ellis. "Calibration and object correspondence in camera networks with widely separated overlapping views", ...]

The dataset comprises three 15-minute video sequences from four synchronized cameras at 15 fps. and it depicts a car park containing moving pedestrians and vehicles.

"East"

"Gate1"

"Gate2"