Title
Video abstraction and detection of anomalies by tracking movements
Abstract
The increasing adoption of video surveillance makes it possible to watch over sensitive areas and identify people responsible for damage, theft and violence. However, when such events are not detected immediately, the subsequent video analysis can be a long and tedious task. The aim of this paper is to present a technique that allows a human investigator to focus only on those parts of a video showing the event as it unfolds, and so helping to save on the time needed to identify and understand how it happened. The presented technique creates a single interactive image of the whole video that shows everything that happened m the scene. The human investigator can then select an area of interest and those parts of the video related to that specific area will start to play.
Year
DOI
Venue
2010
10.1145/1842993.1843036
AVI
Keywords
Field
DocType
video surveillance,video abstraction,specific area,increasing adoption,whole video,subsequent video analysis,sensitive area,tedious task,human investigator,single interactive image,visual analytics
Abstraction,Computer science,Visual analytics,Video tracking,Human–computer interaction,Multimedia,Area of interest
Conference
Citations 
PageRank 
References 
1
0.38
7
Authors
2
Name
Order
Citations
PageRank
Paolo Buono110.38
Adalberto Simeone2412.94