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article · Chinese Optics Letters · 2005

Particle filter based visual tracking with multi-cue adaptive fusion

李安平, Zhongliang Jing, 胡士强

Cited by 11Abstract and details only

Abstract

To improve the robustness of visual tracking in complex environments such as: cluttered backgrounds, partial occlusions, similar distraction and pose variations, a novel tracking method based on adaptive fusion and particle filter is proposed in this paper. In this method, the image color and shape cues are adaptively fused to represent the target observation; fuzzy logic is applied to dynamically adjust each cue weight according to its associated reliability in the past frame; particle filter is adopted to deal with non-linear and non-Gaussian problems in visual tracking. The method is demonstrated to be robust to illumination changes, pose variations, partial occlusions, cluttered backgrounds and camera motion for a test image sequence.

Cite this paper

APA 7

李安平, Jing, Z., & 胡士强. (2005). Particle filter based visual tracking with multi-cue adaptive fusion. Chinese Optics Letters, 3(6), 326–329.

MLA 9

李安平, , et al. “Particle filter based visual tracking with multi-cue adaptive fusion.” Chinese Optics Letters, vol. 3, no. 6, 2005, pp. 326–29.

Chicago

李安平, Zhongliang Jing, and 胡士强. 2005. “Particle filter based visual tracking with multi-cue adaptive fusion.” Chinese Optics Letters 3 (6): 326–29.

Harvard

李安平, Jing, Z. and 胡士强 (2005) ‘Particle filter based visual tracking with multi-cue adaptive fusion’, Chinese Optics Letters, 3(6), pp. 326–329.

BibTeX
@article{anon2005particle,
  title = {{Particle filter based visual tracking with multi-cue adaptive fusion}},
  author = {李安平 and Jing, Zhongliang and 胡士强},
  journal = {Chinese Optics Letters},
  volume = {3},
  number = {6},
  pages = {326--329},
  year = {2005}
}

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