In this paper, we proposed an object tracking algorithm in real time implementation of moving object tracking system using Field programmable gate array (FPGA). Object tracking is considered as a binary classification problem and one of the approaches to this problem is that to extract appropriate features from the appearance of the object based on partial least square (PLS) analysis method, which is a low dimension reduction technique in the subspace. In this method, the adaptive appearance model integrated with PLS analysis is used for continuous update of the appearance change of the target over time. For robust and efficient tracking, particle filtering is used in between every two consecutive frames of the video. This has implemented using Cadence and Virtuoso software integrated environment with MATLAB. The experimental results are performed on challenging video sequences to show the performance of the proposed tracking algorithm using FPGA in real time.
Field programmable Gate Array based Real Time Object Tracking using Partial Least Square Analysis
2020-10-30
doi:10.34256/ijcci2028
International Journal of Computer Communication and Informatics; Vol. 2 No. 2 (2020): Volume 2, Issue 2, Year 2020; 95-110 ; 2582-2713 ; 10.34256/ijcci202
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
Real-time field programmable gate array architecture for computer vision
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