Crisp set implementation on video images for the application of surveillance systems
Observing moving objects in far field’s video surveillance is one of the main application areas in computer vision.The strong interest in this research direction is driven by creating full automotive surveillance applications.This paper presents implementing a crisp set on video images in order to e...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://repo.uum.edu.my/13460/1/PID20.pdf http://repo.uum.edu.my/13460/ http://www.icoci.cms.net.my |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Observing moving objects in far field’s video surveillance is one of the main application areas in computer vision.The strong interest in this research direction is driven by creating full automotive surveillance applications.This paper presents implementing a crisp set on video images in order to evaluate human activities in far field’s surveillance systems.Reducing the storage capacity in surveillance systems is discussed also
in this paper.The concept is based on extracting two powerful attributes from objects motion, namely velocity and pixel frequency distribution. This step followed by combining the measurements mentioned above via crisp set rules in order to evaluate the active section in the image plane and to determine the suitable storing rate. The experimental results proved the efficiency of the novel approach. |
|---|