DocumentCode :
1818520
Title :
Robust Dissolve Detection Using Local Feature Tracking
Author :
Ko, San ; Jeong, J.G. ; Kim, S.K. ; Kim, J.-Y.
Author_Institution :
Samsung Adv. Inst. of Technol., Gyeonggi-Do
fYear :
2007
fDate :
Feb. 2007
Firstpage :
46
Lastpage :
46
Abstract :
In this paper we propose a novel dissolve detection algorithm which overcomes the defects of previously suggested algorithms. Differentiating dissolve from the effect aroused by camera motion or objects movement has long been a problem irritating the researchers and not settled thoroughly yet. In our approach, feature points are tracked so that inter-frame comparison can be executed between the exactly corresponding local features. This method reduces the false alarm caused by motions and improves the acuity of inter-frame comparison greatly. The experimental result shows the superiority of local feature comparison method to that of global feature
Keywords :
feature extraction; image motion analysis; object detection; camera motion; dissolve detection; interframe comparison; local feature tracking; Cameras; Change detection algorithms; Computer vision; Detection algorithms; Gunshot detection systems; Histograms; Rhythm; Robustness; Shape; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 2007. WACV '07. IEEE Workshop on
Conference_Location :
Austin, TX
ISSN :
1550-5790
Print_ISBN :
0-7695-2794-9
Electronic_ISBN :
1550-5790
Type :
conf
DOI :
10.1109/WACV.2007.55
Filename :
4118775
Link To Document :
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