DUAL-TREE COMPLEX WAVELET TRANSFORM FOR ROBUST VISUAL TRACKING OF MULTIPLE OBJECTS IN VIDEO | ||||
| The International Conference on Electrical Engineering | ||||
| Article 11, Volume 11, 11th International Conference on Electrical Engineering ICEENG 2018, April 2018, Page 1-12 PDF (649.37 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2018.30130 | ||||
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| Authors | ||||
| Ahmed Mahmoud1; Sherif S. Sherif2 | ||||
| 1Egyptian Armed Forces. | ||||
| 2Dept. of Electrical and Computer Engineering, University of Manitoba, Canada. | ||||
| Abstract | ||||
| We developed a robust multiscale visual tracker of multiple objects in video using the Dual-tree Complex Wavelet Transform (DT-CWT). Real-valued wavelet transforms were previously used for visual tracking, but most suffer from shift variance and lack of directional selectivity. Therefore, we used DT-CWT to avoid such shortcomings. In our tracker, a captured video frame was represented as different subbands using DT-CWT. Then we applied N independent particle filters to a small subset of these subbands, where the choice of these subbands changed adaptively with each captured frame. Finally, we fused the position tracks resulting from these particle filters to obtain final position tracks of multiple moving objects in the video. To demonstrate robustness of our visual tracker, we compared the performance of our multiscale tracker to a standard particle filter full resolution-based tracker and a single wavelet subband (LL)2 based tracker, our multiscale tracker demonstrates significantly better tracking performance. | ||||
| Keywords | ||||
| Robust visual tracking; Particle Filter; dual-tree complex wavelet transform | ||||
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