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
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;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6992953
