Object tracking based on hardware/software co-design of particle filter

Shih An Li, Chen Chien Hsu, Wen Ling Lin, Jui Pin Wang

Research output: Contribution to journalArticle

Abstract

This paper presents a hardware/software co-design method for particle filter based on System on Program Chip (SOPC) technique. 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 is significantly improved while maintaining design flexibility for various potential applications. To demonstrate the performance of the proposed approach, a real-time object tracking system under the proposed framework is established and presented in this paper. Experimental results have demonstrated that satisfactory results in real-time tracking of objects in video sequences can be obtained by using the proposed method.

Original languageEnglish
Pages (from-to)442-446
Number of pages5
JournalAdvanced Science Letters
Volume13
DOIs
Publication statusPublished - 2012 Jun

Fingerprint

Hardware/software Co-design
Software Design
Object Tracking
Particle Filter
hardware
Design Method
Flexibility
Hardware Accelerator
filter
Real-time
Hardware
software
Tracking System
flexibility
design method
Chip
Update
Calculate
Experimental Results
video

Keywords

  • FPGA
  • HW/SW co-design
  • Object tracking
  • Particle filter
  • SOPC

ASJC Scopus subject areas

  • Computer Science(all)
  • Health(social science)
  • Mathematics(all)
  • Education
  • Environmental Science(all)
  • Engineering(all)
  • Energy(all)

Cite this

Object tracking based on hardware/software co-design of particle filter. / Li, Shih An; Hsu, Chen Chien; Lin, Wen Ling; Wang, Jui Pin.

In: Advanced Science Letters, Vol. 13, 06.2012, p. 442-446.

Research output: Contribution to journalArticle

Li, Shih An ; Hsu, Chen Chien ; Lin, Wen Ling ; Wang, Jui Pin. / Object tracking based on hardware/software co-design of particle filter. In: Advanced Science Letters. 2012 ; Vol. 13. pp. 442-446.
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