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.
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.438