Improved Image Registration Based Tracking System- A Review
This paper provides the information about object matching and tracking has found important and wide
applications in imaging guidance of cruise missile. An object matching and tracking algorithm based on SURF (Speeded-Up
Robust Feature) method is presented in this project. In existing system the SIFT (Scale-Invariant Feature Transform) method
is used which have some problems like time complexity, feature extraction, occlusion problem. To overcome these problems
SURF method will be used in this project. Firstly, feature points are extracted respectively from base image using SURF
method. Then, a coarse-to-fine matching method is used to realize the match of SURF feature points. It shows that,
compared with the frequently-used normal cross correlation method, the presented algorithm can process more complicated
geometric deformations existed between images and gives high matching accuracy as compare to the matching algorithm
based on SIFT feature, in the presented algorithm the processing speed is faster than other algorithm and also lower
computational burden, which can meet the real-time requirements for object matching and tracking.
Keywords- SURF; SIFT; Image Registration; Tracking; Object matching; Aerial Images.