| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士班 === 99 === This paper presents a hardware/software co-design method for implenting a hybrid object tracking system based on particle filter and Particle Swarm Optimization via System on Program Chip (SOPC) technique. Practice on the system using the proposed switching method When the particle filter lost the tracking because object moving too fast,it will switch to PSO to do a global search. When the PSO to tracking the object, it will switch to the particle filter to do fast tracking. Considering both the execution speed and design flexibility, we use a NIOS II processor to calculate weight for each particle and a hardware accelerator to update particles. As a result, execution efficiency of the proposed hardware/software co-design method of particle filter and Particle Swarm Optimization is significantly improved while maintaining design flexibility for various applications. To demonstrate the performance of the proposed approach, a real-time object tracking system is established and presented in this paper. Experimental results have demonstrated the proposed method have satisfactory results in real-time tracking of objects in video sequences.
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