COVARIANCE TRACKING WITH FORGETTING FACTOR AND RANDOM SAMPLING

	COVARIANCE TRACKING WITH FORGETTING FACTOR AND RANDOM SAMPLING
	Zhang X. G.; Li X. L.; Liang M.; Wang Y. J.
	2011
发表期刊	International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
ISSN	0218-4885
卷号	19 期号:3 页码:547-558
摘要	Covariance matching is an excellent algorithm of target tracking. In this paper, forgetting factor and random sampling methods are proposed to improve the robustness and efficiency of covariance tracking. First, a distance function between covariance matrixes is weighted by using a forgetting factor based on a fuzzy membership function to overcome the disturbances from similar targets. Then a random sampling method is applied to reduce the computing time in covariance matching and to facilitate real-time object tracking. Experiment results show that the algorithm proposed in this paper can effectively mitigate the clutter and occlusion problems at a high computing speed.
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/34142
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhang X. G.,Li X. L.,Liang M.,et al. COVARIANCE TRACKING WITH FORGETTING FACTOR AND RANDOM SAMPLING[J]. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems,2011,19(3):547-558.
APA	Zhang X. G.,Li X. L.,Liang M.,&Wang Y. J..(2011).COVARIANCE TRACKING WITH FORGETTING FACTOR AND RANDOM SAMPLING.International Journal of Uncertainty Fuzziness and Knowledge-Based Systems,19(3),547-558.
MLA	Zhang X. G.,et al."COVARIANCE TRACKING WITH FORGETTING FACTOR AND RANDOM SAMPLING".International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 19.3(2011):547-558.

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