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Proceedings Paper

Real-time tracking objects in different scenes on DSP and FPGA platform
Author(s): Qiang Wang; Zhanhong Gao; Jiangtao Li
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Paper Abstract

We propose three adaptive tracking approaches in different environments for our particular application. Poid tracking algorithm with iterative image segmentation and robust threshold is adopted for single object tracking in simple background. Multiple targets are detected and tracked using contour tracking algorithm in simple scenarios. Correlation tracking algorithm is more suitable to track an interesting moving object in complex scenes. Moreover, a programmable hardware based on TMS320DM642 DSP and Spatran3E FPGA is put forward. Then the software design methods and implementation on this platform are simultaneously introduced. The different track mode is selected by instructions from control computer. Experiments show that the three tracking algorithms are implemented in real time.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954V (30 October 2009); doi: 10.1117/12.832605
Show Author Affiliations
Qiang Wang, China Ordnance Equipment Group (China)
Zhanhong Gao, China Ordnance Equipment Group (China)
Jiangtao Li, China Ordnance Equipment Group (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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