An Abandoned and Stolen Object Discrimination dataset
Presentation
These pages describe an Abandoned and Stolen Object Discrimination dataset (ASODds), a corpus of video sequences that provide a representative test-set for comparing systems devoted to discriminate previously detected stationary regions between abandoned and stolen objects in video surveillance. Morever, manual annotations of the events of interest are also provided.
The dataset is composed of several annotated surveillance sequences of different levels of complexity. Sequences have been extracted from public datasets related with the people detection/object classification task. They are:
1)
PETS2006: 9th IEEE International Workshop on Performance
Evaluation of Tracking and Surveillance, 2006. 2)
PETS2007: 10th IEEE International Workshop on Performance
Evaluation of Tracking and Surveillance, 2007. 3) WCAM:
Video Surveillance video sequences (The test visual material used in
this work has been provided with courtesy of Thales Security Systems
within the scope of the IST FP6 WCAM project). 4)
VISOR: Video Surveillance Online Repository. 5)
CVSG: A Chroma-based Video Segmentation Ground-truth. 6)
AVSS2007:7th IEEE International Conference on Advanced Video
and Signal based Surveillance,September 2007. 7) CANTATA: Left object
dataset for outdoor scenarios. 8) CANDELA: Abandoned
object detection dataset for indoor scenarios.
For more details
please refer to the "Content" section.
This dataset is only available for research purposes. Institutions or research groups that have downloaded it include:
- College of Electronics and Information Engineering (Southwest University) , Chongqing 400715, China
- Institute for High Performance Computing and Networking (National Research Council of Italy), Italy
- School of Computer Science and Statistics (Trinity College Dublin), Ireland
- Technological Institute of Aeronautics (Universidad de São José dos Campos), Brasil
- Intelligent Sciente and Techology Institute (HoHai University), China
Related publications (using dataset) :
[1] L. Caro, J.C. SanMiguel and J. M. Martínez, “Discrimination of abandoned and stolen objects based on active contours”, in Proc. of the IEEE 8th Int. Conf. on Advanced Video and Signal based Surveillance, AVSS2011, Klagenfurt (Austria), September 2011, pp. 101-106.
[2] J.C. SanMiguel, L. Caro and J. M. Martínez,"Pixel-based colour contrast for abandoned and stolen object discrimination in video surveillance", Electronic Letters, 48 (2): pp. 86-87, February 2012.
Work partially supported by the Spanish Goverment under project TEC2011-25995 (EventVideo).
