Kirti Wanjale

Work place: Department of Computer Engineering, Pune-411028, India



Research Interests: Image Processing


Mrs. Kirti Wanjale is currently working as an Associate Professor in the Department of Computer Science in Vishwakarma Institute of Information Technology(VIIT), affiliated to Savitribai Phule Pune University, Pune. She has 14 years of teaching experience. She is currently pursuing PhD. She has presented papers in many national and international conferences and published articles in many international journals. Her research area is image processing.

Author Articles
Real Time Webcam based Infrared Tracking for Projection Display System

By Aniket Kudale Kirti Wanjale

DOI:, Pub. Date: 8 Nov. 2016

In this paper, we propose an interaction based projection display system, which enables an infrared pen touch interaction on flat surface (e.g. walls, whiteboard, tables), with a webcam (with an infrared filter removed) and a projector. The challenge of infrared pen touch detection is to sense the touching and movement information of an infrared pen on the surface just from the 2-dimensional image captured by the webcam. In our method, the content of a computer is projected on the surface and the user interacts with the surface using an infrared pen, the movement of an infrared pen is captured by the webcam. Here, the infrared LED light act as a tracking point which helps in controlling the content projected on surface. The proposed method is performed in three stages: 1) the infrared pen LED image is captured and tracked using webcam 2) the calibration of webcam-projector setup is done by principle of Homography 3) the tracked coordinates or location of Infrared pen LED is mapped to computer cursor. By this way, movement of infrared pen allows user to control computer content projected on the surface.

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A Natural Language Query Builder Interface for Structured Databases Using Dependency Parsing

By Rohini Kokare Kirti Wanjale

DOI:, Pub. Date: 8 Nov. 2015

A natural language query builder interface retrieves the required data in structured form from database when query is entered in natural language. The user need not necessarily have sufficient technical knowledge of structured query language statements so nontechnical users can also use this proposed model. In natural language parsing, getting highly accurate syntactic analysis is a crucial step. Parsing of natural languages is the process of mapping an input string or a natural language sentence to its syntactic representation. Constituency parsing approach takes more time for parsing. So, natural language query builder interface is developed in which the parsing of natural language sentence is done by using dependency parsing approach. Dependency parsing technique is widespread in natural language domain because of its state-of-art accuracy and efficiency and also it performs best. In this paper, the buffering scheme is also proposed for natural language statements which will not load the whole sentence if it was done previously. Also there was a need of generalized access to all tables from database which is handled in this system.

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