Car Recognition Through SIFT Keypoint Matching Drew Stebbins, Pd. 6 Third Quarter Report
Feb 25, 2016
Car Recognition Through SIFT Keypoint Matching
Drew Stebbins, Pd. 6Third Quarter Report
Background:License plate tracking technology
Need for civilian vehicle recognition
Object detection techniques SIFT keypoint matching
Problem statement:Car recognition
fast moving multi-coloured complex shapes must identify in real-time
Region of Interest Identification:Hough circle transform
multiple passes
SIFT keypoint matching:Keypoint detection
scale-space extrema detection keypoint localization orientation assignment keypoint descriptor
SIFT keypoint matching:Matching to database images
nearest-neighbour identification based on keypoint description
Expectations:side profile car recognition and categorization invariant to lighting changes, also small amounts of rotation, translation
multiple carsmoderate detection speed
Progress:Region of interest identification
Hough transform circle detectorScale space extrema detection
Gaussian smoothing function and difference-of-Gaussian
Plan for Fourth Quarter:Finish implementation of SIFT
keypoint detection algorithmTest recognition accuracy on
database of testing images taken from TJ student parking lot
You just won the game!