电子科技大学学报Issue(1)：91-96,6.DOI:10.3969/j.issn.1001-0548.2015.01.015
基于粒子滤波的目标主动轮廓跟踪算法
A Novel Particle Filter Based Object Active Contour Tracking Method
摘要
Abstract
Conventional particle filters use simple geometric shapes with finite dimensional parameters to give the tracking results, therefore cannot precisely present the real-world objects with complex shapes. Aiming at this problem, this paper presents a novel particle filter based active contour algorithm for object contour tracking task. The active contour is introduced on the base of the samples simulating the target state posterior distribution;By including the weighted particles into the energy function, the contours evolve towards the region with particles with important weights and eventually converge to image region with maximum likelihood of the target. The proposed algorithm can improve the updating accuracy of the target model and avoid the tracking drift. Finally, a real-world airport surveillance application is presented to show the effectiveness and robustness of the proposed method in complex scenarios.关键词
主动轮廓/能量函数/目标跟踪/粒子滤波Key words
active contour/energy functional/object tracking/particle filter分类
信息技术与安全科学引用本文复制引用
季玉龙,杨光,戈文一..基于粒子滤波的目标主动轮廓跟踪算法[J].电子科技大学学报,2015,(1):91-96,6.基金项目
国家863项目(2012AA011804) （2012AA011804）
