Translator Disclaimer
1 December 2009 Feature points detection and tracking based on SIFT combining with KLT method
Author Affiliations +
Abstract
For feature point detection with variable scale, rotation, variable illumination and variable 3D view port, a feature point detection and tracking method combining scale invariant feature transform (SIFT) and KLT (Kanade-Lucas-Tomasi) is proposed in this paper. SIFT feature point detection method is improved and it is used to detect feature points of image, and then KLT method is used to track the feature points continuously. In order to verify the feasibility of the proposed method, simulation experiments are carried out in real scene image sequences with different complexity using this method, better results of detection and tracking are obtained and the obtained feature point is more stable than conventional method.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongbing Wang, Zhenming Peng, Jie Liu, Youwang Zheng, Baobing Liao, and Yue Wang "Feature points detection and tracking based on SIFT combining with KLT method", Proc. SPIE 7506, 2009 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 75062N (1 December 2009); https://doi.org/10.1117/12.838618
PROCEEDINGS
10 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

On-line object tracking method based on co-training
Proceedings of SPIE (November 30 2012)
OmniSense: visually enhanced tracking system
Proceedings of SPIE (August 07 2002)

Back to Top