Surveillance Video Synopsis via Scaling Down Moving Objects
Author(s):
Surafi PS , Marian Engineering College; Hema S Mahesh, Marian Engineering College
Keywords:
Video Synopsis, Surveillance, Collision, Optimization Framework, Reduce Size
Abstract:
This paper produces an approach for video synopsis through which shorter and condensed form of video can be obtained. Most of the spatiotemporal redundancies in surveillance video can be avoided and essential activities in the video can be preserved here. In most of the existing approaches collisions are caused while video is condensed. Most of the collisions can be avoided by reducing size of moving objects. Mainly three steps are used. Interesting objects are identified and detected in first step. An optimization framework technique is used in second step in order to find energy mapping values. Finally scaled down objects are added back to the video of user defied length video.
Other Details:
| Manuscript Id | : | IJSTEV3I9062
|
| Published in | : | Volume : 3, Issue : 9
|
| Publication Date | : | 01/04/2017
|
| Page(s) | : | 298-302
|
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