Title :
Velocity estimation using semi-local features
Author :
Chen, Liya ; Teoh, Eam Khwang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
Computing the velocity field, or motion estimation is one of the most important issues in computer vision, and it is widely used in the areas of navigation, visual surveillance, video database, etc. This problem has received a great deal of attentions over the last few years. This paper proposed a novel affine invariant feature set which localization ability is adjustable, and based on this developed a velocity estimation algorithm. It can be used in motion detection, motion segmentation, and motion based recognition
Keywords :
computer vision; edge detection; feature extraction; image segmentation; motion estimation; affine invariant feature set; computer vision; edge detection; feature extraction; motion detection; motion estimation; motion segmentation; semilocal features; velocity estimation; Brightness; Computer vision; Image edge detection; Image motion analysis; Image segmentation; Motion estimation; Navigation; Optical noise; Surveillance; Visual databases;
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
DOI :
10.1109/ICIIS.1999.810292
