Open AccessMultiple Object Detection Interface using HSV, Hough and Haar-classifier
Author(s) -
Bollipelly PruthviRaj Goud,
G. L. Anand Babu,
G. Sekhar Reddy,
A. Mallikarjuna
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8096.078919
Subject(s) - computer science , artificial intelligence , computer vision , identification (biology) , object (grammar) , classifier (uml) , haar like features , rectangle , object detection , face detection , hsl and hsv , gesture , interface (matter) , hough transform , pattern recognition (psychology) , facial recognition system , image (mathematics) , mathematics , virus , botany , geometry , bubble , virology , maximum bubble pressure method , parallel computing , biology
In the recent past of advancement in computer vision object detection and identification technologies are most valuable approaches in our day life. It is mostly used to find a different kind of objects being and provide a security in many zones. It becomes very difficult for achieving a best object detection or identification with high rate in a various situation and criteria. While working with different entities researcher job is going to very difficult but providing high availability is good omen to develop advisable, flexible environments. Like MODI i.e. “Multiple Object Detection Interface”. The main aim of this paper is to identify the object on user requirement. Detect the information or content based on the type i.e. color, face, shape or eyes. It is helpful to the user to retrieve the objects based on his requirements while expose his/her analysis on images. Majorly, Multi color identification done through with the help of HSV color channels. Shape Identification Hough cycle/rectangle transformation. Finally choose human gestures as eyes and face detection with the help of HAAR like features. Every aspect is available in the market. We are trying to make it as single platform as MODI.