Paper Info
Title
Automatic Threshold Decision Of Background Registration Technique For Video Segmentation
Abstract
Background registration technique is useful to solve still object problem and uncovered background problem for video segmentation. However, it is hard to automatically decide the threshold of the frame difference for background registration to make it more feasible for real-time applications. Many previous works made efforts on automatic threshold decision for change detection. In this paper, we propose a new method of automatic threshold decision algorithm in a totally different viewpoint. Not only change detection but also the quantization effect in discrete domain is concerned. A Gaussianity test is first applied to find the standard deviation of Gaussian noise from the camera. Then, the quantization effect in discrete domain is taken into consideration to derive the relation between the standard deviation and the optimal threshold value. A couple MPEG-4 sequences and experimental sequences are tested as examples. Simulation results show that the calculated threshold values are suitable for background registration to give good segmentation results.
Year
DOI
Venue
2002
10.1117/12.453098
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2002, PTS 1 AND 2
Keywords
Field
DocType
automatic threshold decision, background registration, change detection, video segmentation, object extraction
Computer vision,Change detection,Pattern recognition,Computer science,Segmentation,Frame difference,Threshold limit value,Artificial intelligence,Quantization (signal processing),Gaussian noise,Standard deviation
Conference
Volume
ISSN
Citations 
4671
0277-786X
2
PageRank 
References 
Authors
0.49
16
4
Name
Order
Citations
PageRank
Yu-Wen Huang11116114.02
Shao-Yi Chien21603154.48
Bing-Yu Hsieh348354.76
Liang-Gee Chen43637383.22