Real-time object tracking system on FPGAs

Su Liu, Alexandros Papakonstantinou, Hongjun Wang, Deming Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Object tracking is an important task in computer vision applications. One of the crucial challenges is the realtime speed requirement. In this paper we implement an object tracking system in reconfigurable hardware using an efficient parallel architecture. In our implementation, we adopt a background subtraction based algorithm. The designed object tracker exploits hardware parallelism to achieve high system speed. We also propose a dual object region search technique to further boost the performance of our system under complex tracking conditions. For our hardware implementation we use the Altera Stratix III EP3SL340H1152C2 FPGA device. We compare the proposed FPGA-based implementation with the software implementation running on a 2.2 GHz processor. The observed speedup can reach more than 100X for complex video inputs.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011
Pages1-7
Number of pages7
DOIs
StatePublished - 2011
Event2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011 - Knoxville, TN, United States
Duration: Jul 19 2011Jul 20 2011

Publication series

NameProceedings - 2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011

Other

Other2011 Symposium on Application Accelerators in High-Performance Computing, SAAHPC 2011
Country/TerritoryUnited States
CityKnoxville, TN
Period7/19/117/20/11

Keywords

  • Application acceleration
  • FPGA
  • Object tracking

ASJC Scopus subject areas

  • Computer Science Applications

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