Kernel Particle Filter for visual tracking

被引：132

作者：

Chang, C ^{[1
]}

Ansari, R ^{[1
]}

机构：

[1] Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA

来源：

IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 03期

基金：

美国国家科学基金会;

关键词：

bootstrap filter; kernel density estimation; mean shift; particle filter; target tracking;

D O I：

10.1109/LSP.2004.842254

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new particle filter-the Kernel Particle Filter (KPF)-is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated from the kernel density estimate of the posterior. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident in scenarios of small system noise or weak dynamic models where the standard particle filter usually fails.

引用

页码：242 / 245

页数：4

共 8 条

[1] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].

Arulampalam, MS ;

Maskell, S ;

Gordon, N ;

Clapp, T .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188

[2] MEAN SHIFT, MODE SEEKING, AND CLUSTERING [J].

CHENG, YZ .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (08) :790-799

[3] Kernel-based object tracking [J].

Comaniciu, D ;

Ramesh, V ;

Meer, P .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (05) :564-577

[4] NOVEL-APPROACH TO NONLINEAR NON-GAUSSIAN BAYESIAN STATE ESTIMATION [J].

GORDON, NJ ;

SALMOND, DJ ;

SMITH, AFM .

IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1993, 140 (02) :107-113

[5] CONDENSATION - Conditional density propagation for visual tracking [J].

Isard, M ;

Blake, A .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 1998, 29 (01) :5-28

[6]

Musso C, 2001, STAT ENG IN, P247

[7] Filtering via simulation: Auxiliary particle filters [J].

Pitt, MK ;

Shephard, N .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (446) :590-599

[8]

Silverman B. W, 1986, Monographs on Statistics and Applied Probability, DOI [DOI 10.2307/2347507, 10.1201/9781315140919]

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