Lifting Based DWT for Object Tracking Using Variance Method
Resmi H. B1, Deepambika V. A2, M. Abdul Rahman3
1Resmi H. B, Department of Electronics and Communication, LBS Institute of Science and Technology for Women, Trivandrum (Kerala), India.
2Deepambika V. A, Department of Electronics and Communication, LBS Institute of Science and Technology for Women, Trivandrum (Kerala), India.
3Dr. M. Abdul Rahman, Professor, Vice Chancellor of Kerala Technical University, Trivandrum (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 100-104 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4179084615/15©BEIESP
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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: Fast and accurate object tracking is very important for real time applications like video surveillance, traffic monitoring etc. In most of the conventional object tracking methods environmental changes, memory requirement and computation speed are the major constraints. This paper proposes an efficient object tracking method to compensate for all these challenges. Here a Lifting based Discrete Wavelet Transform (LDWT) has been used in order to compensate for fake motions and low memory requirement. Lifting based 9/7 Discrete Wavelet Transform is proposed to reduce the computational cost and preserve fine object boundaries. For fast object tracking variance method is adopted where maximum nonzero pixel value is considered. The experimental results show that the proposed method yields better result on the basis of computational time, memory requirement, speed of operation and environmental changes than the conventional DWT based approach.
Keywords: Object Detection, Object Tracking, DWT, LDWT, Frame Differencing, Variance Method
Scope of the Article: Environmental Engineering