Nonuniform Video Size Reduction for Moving Objects
Joint Authors
Le, Anh Vu
Jung, Seung-Won
Won, C. S.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Moving objects of interest (MOOIs) in surveillance videos are detected and encapsulated by bounding boxes.
Since moving objects are defined by temporal activities through the consecutive video frames, it is necessary to examine a group of frames (GoF) to detect the moving objects.
To do that, the traces of moving objects in the GoF are quantified by forming a spatiotemporal gradient map (STGM) through the GoF.
Each pixel value in the STGM corresponds to the maximum temporal gradient of the spatial gradients at the same pixel location for all frames in the GoF.
Therefore, the STGM highlights boundaries of the MOOI in the GoF and the optimal bounding box encapsulating the MOOI can be determined as the local areas with the peak average STGM energy.
Once an MOOI and its bounding box are identified, the inside and outside of it can be treated differently for object-aware size reduction.
Our optimal encapsulation method for the MOOI in the surveillance videos makes it possible to recognize the moving objects even after the low bitrate video compressions.
American Psychological Association (APA)
Le, Anh Vu& Jung, Seung-Won& Won, C. S.. 2014. Nonuniform Video Size Reduction for Moving Objects. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051252
Modern Language Association (MLA)
Le, Anh Vu…[et al.]. Nonuniform Video Size Reduction for Moving Objects. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051252
American Medical Association (AMA)
Le, Anh Vu& Jung, Seung-Won& Won, C. S.. Nonuniform Video Size Reduction for Moving Objects. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051252