Title

Intelligent Systems – I: Real time finger counting and virtual drawing using color detection and shape recognition

Abstract/Description

In this paper we have provided a cheap method for counting open fingers and virtual drawing in real time using color detection and shape detection algorithms. These algorithms don't require training and database. Our method for finger counting detects the circular markers having a specified color visible on the inner side of the fingers by using color detection and shape recognition operations on the real time captured image and then counts the markers visible. The count can be further used as an input for other medium using communication methods. Different schemes are also defined using the combination of colors and hands used to generate desired output signals. The method devised for virtual drawing detects the circular specific colored marker on a stylus or finger using color detection and shape recognition. The position of the marker is marked and then plotted using the points marked in the previous frames which results in the pattern tracking the marker's movement. The development of both applications is done using Matlab as the developing environment using a normal A4-Tech webcam and run on Dell latitude D630 laptop with Intel® Core™2 Duo processor, Ram 2.00GB.

Location

Room M1

Session Theme

Intelligent Systems – I

Session Type

Other

Session Chair

Dr. Sajjad Haider

Start Date

14-12-2013 4:00 PM

End Date

14-12-2013 4:30 PM

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Dec 14th, 4:00 PM Dec 14th, 4:30 PM

Intelligent Systems – I: Real time finger counting and virtual drawing using color detection and shape recognition

Room M1

In this paper we have provided a cheap method for counting open fingers and virtual drawing in real time using color detection and shape detection algorithms. These algorithms don't require training and database. Our method for finger counting detects the circular markers having a specified color visible on the inner side of the fingers by using color detection and shape recognition operations on the real time captured image and then counts the markers visible. The count can be further used as an input for other medium using communication methods. Different schemes are also defined using the combination of colors and hands used to generate desired output signals. The method devised for virtual drawing detects the circular specific colored marker on a stylus or finger using color detection and shape recognition. The position of the marker is marked and then plotted using the points marked in the previous frames which results in the pattern tracking the marker's movement. The development of both applications is done using Matlab as the developing environment using a normal A4-Tech webcam and run on Dell latitude D630 laptop with Intel® Core™2 Duo processor, Ram 2.00GB.