Paper Info
Title
Detection of Defined Human Poses for Video Surveillance
Abstract
This paper presents a system for real-time detection of defined human poses (i.e. raising of hands) in surveillance video. A single (non-calibrated) video camera is used to record data in an indoor environment. There are two main steps in our proposed system, the extraction of human silhouettes in video data and pose classification. Silhouette extraction is refined by paying attention to the removal of shadow artefacts close to occlusion borders. For pose classification, we combined, adjusted, and implemented two existing methods (star skeleton calculation and its evaluation). We demonstrate that the proposed two-step technique is solving the given task for a large percentage of input data when recording an individual person only.
Year
DOI
Venue
2014
10.1145/2683405.2683439
IVCNZ
Keywords
DocType
Citations 
pose detection,silhouette extraction,human pose,scene analysis,video surveillance
Conference
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Xu He101.69
Zhengping Wang200.34
Bok-Suk Shin3689.27
Reinhard Klette41743228.94