文献类型： 会议论文

第一作者： Luis Patino

作者： Luis Patino ¹ ; Tom Cane ² ; Alain Vallee ³ ; James Ferryman ¹ ;

作者机构： 1.University of Reading, Computational Vision Group

2.BMT Group Ltd.

3.SAGEM

会议名称： IEEE Conference on Computer Vision and Pattern Recognition Workshops

主办单位：

页码： 1240-1247

摘要： This paper describes the datasets and computer vision challenges that form part of the PETS 2016 workshop. PETS 2016 addresses the application of on-board multi sensor surveillance for protection of mobile critical assets. The sensors (visible and thermal cameras) are mounted on the asset itself and surveillance is performed around the asset. Two datasets are provided: (1) a multi sensor dataset as used for the PETS2014 challenge which addresses protection of trucks (the ARENA Dataset); and (2) a new dataset - the IPATCH Dataset - addressing the application of multi sensor surveillance to protect a vessel at sea from piracy. The dataset specifically addresses several vision challenges set in the PETS 2016 workshop, and corresponding to different steps in a video understanding system: Low-Level Video Analysis (object detection and tracking), Mid-Level Video Analysis ('simple' event detection: the behaviour recognition of a single actor) and High-Level Video Analysis ('complex' event detection: the behaviour and interaction recognition of several actors).

分类号： TP391.41-53