DocumentCode
457029
Title
Detection and Recognition of Moving Objects by Using Motion Invariants
Author
Ito, Satoshi ; Otsu, Nobuyuki
Author_Institution
Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
683
Lastpage
686
Abstract
Motion invariant features, which are called either absolute or relative invariant linear features, are useful for detection and recognition of moving objects from image streams. We conducted simple experiments using these invariant features. The first experiment tested our method for moving object recognition with a fixed camera using absolute invariant linear features. In the second experiment, another method was used to detect moving objects with a moving camera using both relative and absolute invariant linear features. The results of these experiments confirmed the effectiveness of the proposed methods
Keywords
feature extraction; image motion analysis; image recognition; object detection; image streams; invariant linear features; motion invariants; moving object detection; moving object recognition; Cameras; Feature extraction; Image motion analysis; Image recognition; Indium tin oxide; Information science; Motion detection; Object detection; Robot vision systems; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.438
Filename
1698984
Link To Document