DocumentCode :
651797
Title :
ActVis: Activity Visualization in Videos
Author :
Toyoura, Masahiro ; Nishiguchi, Shogo ; Xiaoyang Mao ; Murakami, M.
Author_Institution :
Univ. of Yamanashi, Yamanashi, Japan
fYear :
2013
fDate :
21-23 Oct. 2013
Firstpage :
222
Lastpage :
225
Abstract :
We present ActVis, which is a computer-aided video surveillance system for detecting and visualizing the activation levels of multiple objects in a video. ActVis indicates "something is happening" in a video. A user arranges panels indicating the regions of focusing objects on the video screen. Temporal differential as an activation level in a panel is detected by the system, and a corresponding seek bar representing the level is generated. In general, high-level features, such as body posture or facial direction/expression, cannot be extracted when the target object is partially occluded in video, or it is not human. By employing the temporal differential as a low-level feature and the metaphor of a level meter, our system can notify a user "when something happens." The user can explore high-level features of the moment. Potential applications of ActVis include the analysis of student activation levels in classroom for professional development of faculty, and observations of wild animals for ecological investigation.
Keywords :
video surveillance; ActVis; activity visualization; computer-aided video surveillance system; ecological investigation; high-level features; low-level feature; professional development; student activation levels; temporal differential; video screen; wild animals; Bars; Cameras; Electronic mail; Feature extraction; Image color analysis; Videos; Visualization; activation level; camera surveyllance; professional development of faculty; temporal differential; video visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyberworlds (CW), 2013 International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4799-2245-1
Type :
conf
DOI :
10.1109/CW.2013.59
Filename :
6680118
Link To Document :
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