| Title |
A Real-time Implementation of Object Tracking Algorithms Fusion for Thermal Imaging Sequences |
| Authors |
(Nguyen Ngoc Hung) ; (Cao Huu Tinh) ; (Nguyen Vi Thuan) ; (Pham Ngoc Van) |
| DOI |
https://doi.org/10.5573/IEIESPC.2022.11.4.262 |
| Keywords |
Object tracking; Thermal imaging sequences; Image processing; Real-time systems; MPSoC |
| Abstract |
Object tracking is a widely used algorithm in image processing. When tracking objects on thermal images, however, issues, such as changes in size, temporary occlusion, lack of prominent features, and active thermal noise, are frequently encountered. This article proposes using Multi- Processor System on Chip (MPSoC) technology to implement new tracking algorithms on programmable hardware platforms to increase the computational speed. This real-time algorithm will combine the superiority of existing object tracking algorithms, such as Camshift, Kalman, and Optical Flow, to overcome the difficulties mentioned above. |