Multiple Object Detection Interface using HSV, Hough and Haar-classifier
B. Pruthvi Raj Goud1, G. L. Anand Babu2, G. Sekhar Reddy3, A. Mallikarjuna Reddy 4
1B. Pruthvi Raj Goud, Department of Information Technology, Anurag Group of Institutions, Hyderabad, India.
2G. L. Anand Babu, Department of Information Technology, Anurag Group of Institutions, Hyderabad, India.
3G. Sekhar Reddy, Department of Information Technology, Anurag Group of Institutions, Hyderabad, India.
4Dr. A. Mallikarjuna, Reddy Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1512-1516 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8096078919/19©BEIESP | DOI: 10.35940/ijitee.I8096.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Flexible, HSV, HAAR, HOUGH
Scope of the Article: Interface Agents