光电技术应用
光電技術應用
광전기술응용
ELECTRO-OPTIC WARFARE & RADAR PASSIVE COUNTERMEASURES
2011年
6期
70-74
,共5页
粒子滤波%中值移位%多目标跟踪%聚类分析
粒子濾波%中值移位%多目標跟蹤%聚類分析
입자려파%중치이위%다목표근종%취류분석
particle filter%median shift%multi-object tracking%clustering analysis
针对传统粒子滤波多目标跟踪过程中的发散问题,提出了一种基于中值移位的粒子滤波多目标跟踪算法。该算法采用具有优良特性的中值移位方法对重要性重采样后的中间结果进行聚类分析,得到相应的粒子子群,从而获得各个目标的最优状态估计,提高滤波精度,并对目标的进出场景和遮挡问题进行有效处理。视频跟踪仿真试验表明该算法是稳健的,能够在复杂环境下对视频多目标进行有效、可靠的跟踪。
針對傳統粒子濾波多目標跟蹤過程中的髮散問題,提齣瞭一種基于中值移位的粒子濾波多目標跟蹤算法。該算法採用具有優良特性的中值移位方法對重要性重採樣後的中間結果進行聚類分析,得到相應的粒子子群,從而穫得各箇目標的最優狀態估計,提高濾波精度,併對目標的進齣場景和遮擋問題進行有效處理。視頻跟蹤倣真試驗錶明該算法是穩健的,能夠在複雜環境下對視頻多目標進行有效、可靠的跟蹤。
침대전통입자려파다목표근종과정중적발산문제,제출료일충기우중치이위적입자려파다목표근종산법。해산법채용구유우량특성적중치이위방법대중요성중채양후적중간결과진행취류분석,득도상응적입자자군,종이획득각개목표적최우상태고계,제고려파정도,병대목표적진출장경화차당문제진행유효처리。시빈근종방진시험표명해산법시은건적,능구재복잡배경하대시빈다목표진행유효、가고적근종。
Aiming at the problem that the traditional particle filter is divergent and failed in tracking for mul tiple objects,a multi-object tracking algorithm of the particle filter based on the median shift is presented.The in termediate result after sampling can be analyzed by the method based on the median shift and the subset particles of the object can be obtained,therefore,each object can be estimated optimally,the filter accuracy is improved,so the problem of object entering or leaving and the occlusion can be also solved effectively.The simulation re sults demonstrate that the algorithm is robust and effective for multiple objects under complex backgrounds.
