PETS 2015: datasets and challenge


Autoria(s): Li, Longzhen; Nawaz, Tahir; Ferryman, James
Data(s)

25/08/2015

Resumo

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 us- ing 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.

Formato

text

Identificador

http://centaur.reading.ac.uk/46540/1/2015_AVSS_PETS2015Datasets_Li_Nawaz_Ferryman.pdf

Li, L. <http://centaur.reading.ac.uk/view/creators/90000503.html>, Nawaz, T. <http://centaur.reading.ac.uk/view/creators/90006297.html> and Ferryman, J. <http://centaur.reading.ac.uk/view/creators/90000220.html> (2015) PETS 2015: datasets and challenge. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, pp. 1-6.

Idioma(s)

en

Relação

http://centaur.reading.ac.uk/46540/

creatorInternal Li, Longzhen

creatorInternal Nawaz, Tahir

creatorInternal Ferryman, James

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7301741

Tipo

Conference or Workshop Item

PeerReviewed