Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking

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Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking

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with EDA Technofair Design Automation Conference Asia and South Pacific archive
Proceedings of the 2006 conference on Asia South Pacific design automation table of contents

Yokohama, Japan

SESSION: Application examples with leading edge design methodology table of contents

Pages: 176 - 181

Year of Publication: 2006

ISBN:0-7803-9451-8

Authors

K. Yamaoka	Hiroshima University, Kagamiyama, Higashi-Hiroshima, Japan
T. Morimoto	Hiroshima University, Kagamiyama, Higashi-Hiroshima, Japan
H. Adachi	Hiroshima University, Kagamiyama, Higashi-Hiroshima, Japan
T. Koide	Hiroshima University, Kagamiyama, Higashi-Hiroshima, Japan
H. J. Mattausch	Hiroshima University, Kagamiyama, Higashi-Hiroshima, Japan

Sponsors

: IEEE Circuits and Systems Society
SIGDA: ACM Special Interest Group on Design Automation
IEICE ESS : Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IPSJ SIG-SLDM : Information Processing Society of Japan, SIG System LSI Design Methodology

Publisher

IEEE Press Piscataway, NJ, USA

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ABSTRACT

A novel algorithm for object tracking in video pictures, based on image segmentation and pattern matching, as well as its FPGA/ASIC implementation architecture are presented. With image segmentation, we can detect all objects in the images no matter whether they are moving or not. Using image segmentation results of successive frames, we exploit pattern matching in a simple object feature space for tracking of objects. The proposed algorithm can be applied to multiple moving and still objects even in the case of a moving camera. The FPGA/ASIC implementation architecture is verified to enable realtime tracking of up to 220 objects, when realized with modern FPGA hardware [1].

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	StratixII, Altera Corporation, 2005, URL: http://www.altera.com/products/devices/stratix2/.
	2	See, for example, W. G. Kropatsch and H. Bischof, "Digital Image Analysis," Springer, 2001.
	3	S. W. Seol et al., "An automatic detection and tracking system of moving objects using double differential based motion estimation," Proc. of International Technical Conference on Circuits/Systems, Computers and Communications, pp. 260--263, 2003.
	4	H. Kimura and T. Shibata, "Simple-architecture motion-detection analog V-chip based on quasi-two-dimensional processing," Extended Abstracts of the 2002 International Conference on Solid State Devices and Materials, pp. 240--241, 2002.
	5	T. Morimoto et al., "Object tracking in video pictures based on image segmentation and pattern matching," Proc. of the IEEE Int. Symp. on Circ. and Syst.(ISCAS2005), pp.3215--3218, 2005.
	6	T. Morimoto et al., "Efficient video-picture segmentation algorithm for cell-network-based digital CMOS implementation," IEICE Transactions on Information and Systems, Vol. E87-D, No. 2, pp. 500--503, 2004.
	7	T. Morimoto et al., "Pixel-parallel digital CMOS implementation of image segmentation by region growing," IEE Proceedings Circuits, Devices & Systems, in press.
	8	H. Adachi et al., "Image-scan architecture for efficient FPGA/ASIC implementation of video-segmentation by region growing," Proc. of The International SoC Design Conference(ISOCC2005), pp. 301--304, 2005.