DocumentCode
1776140
Title
Object detection and recognition in cluttered scene using Harris Corner Detection
Author
Ben-Musa, Ahmad Salihu ; Singh, S.K. ; Agrawal, Pulin
Author_Institution
Dept. of Comput. Sci. & Eng., Lovely Prof. Univ., Phagwara, India
fYear
2014
fDate
10-11 July 2014
Firstpage
181
Lastpage
184
Abstract
In this research paper Objects are detected and recognized in cluttered scene. We use Harris Corner Detector to extract interest points, and use additional descriptor FREAK (Fast Retina Keypoint) to match and find detect the object. We also use some classification algorithm to classify and label the object based on the extracted features. The proposed techniques are precise and robust.
Keywords
feature extraction; image classification; object detection; object recognition; retinal recognition; FREAK; Harris corner detection; classification algorithm; cluttered scene; fast retina keypoint; feature extraction; object classification; object detection; object recognition; Computer vision; Detectors; Feature extraction; Image recognition; Object detection; Vehicles; Detectors; FREAK; Features; HOG; Interest Points;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location
Kanyakumari
Print_ISBN
978-1-4799-4191-9
Type
conf
DOI
10.1109/ICCICCT.2014.6992953
Filename
6992953
Link To Document