Particle Filter Based Human Tracking |
Author(s): |
| Ankur Dalvi , Padmabhushan Vasantdada Patil Pratishthan's College of Engineering; Prashant Kadam, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering; Tejas Satam, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering; Omkar Koli, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering |
Keywords: |
| Human Tracking, PCA |
Abstract |
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This paper focusses on tracking of a certain human captured in a particular video. The algorithm used here have the capability of performing tracking operation. Then the tracked person is observed on a respective display. The human motion tracking system consists of various parts which are explained further. This system demonstrates the feasibility of an end to end person tracking system where initially it start background subtraction, then detection of the interested human and tracking of that human form one frame to another continuously. For detection of the interested human PCA algorithm is used. Particle filtering is introduced into tracking the people. Our system have demonstrated that as compared with other methods it reduces detection time comparatively and improves human detection and tracking accuracy. |
Other Details |
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Paper ID: IJSRDV5I20690 Published in: Volume : 5, Issue : 2 Publication Date: 01/05/2017 Page(s): 675-677 |
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