DocumentCode :
3674352
Title :
PETS 2015: Datasets and challenge
Author :
Longzhen Li;Tahir Nawaz;James Ferryman
Author_Institution :
Computational Vision Group, School of Systems Engineering, University of Reading, UK
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents the two datasets (ARENA and P5) and the challenge that form a part of the PETS 2015 workshop. The datasets consist of scenarios recorded by using multiple visual and thermal sensors. The scenarios in ARENA dataset involve different staged activities around a parked vehicle in a parking lot in UK and those in P5 dataset involve different staged activities around the perimeter of a nuclear power plant in Sweden. The scenarios of each dataset are grouped into `Normal´, `Warning´ and `Alarm´ categories. The Challenge specifically includes tasks that account for different steps in a video understanding system: Low-Level Video Analysis (object detection and tracking), Mid-Level Video Analysis (`atomic´ event detection) and High-Level Video Analysis (`complex´ event detection). The evaluation methodology used for the Challenge includes well-established measures.
Keywords :
"Positron emission tomography","Thermal sensors","Cameras","Event detection","Visualization","Vehicles"
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2015 12th IEEE International Conference on
Type :
conf
DOI :
10.1109/AVSS.2015.7301741
Filename :
7301741
Link To Document :
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