计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
8期
164-167,206
,共5页
均值漂移%粒子滤波%零阶自适应模型%局部优化%多峰值
均值漂移%粒子濾波%零階自適應模型%跼部優化%多峰值
균치표이%입자려파%령계자괄응모형%국부우화%다봉치
mean-shift%particle filter%zero-order adaptive model%local optimization%multi-peaks
为提高粒子滤波视觉目标跟踪算法的准确性和实时性,提出一种基于自适应状态转移的混合跟踪算法。首先采用零阶自适应变化模型来获取目标的可能状态,然后利用均值漂移算法的局部优化特性找到后验概率的最大值。在多峰值情况下由粒子滤波随机产生粒子,用新的粒子集来确定目标的最终位置。实验结果表明,这种改进的算法在保证准确性的同时,降低了系统的计算时间。
為提高粒子濾波視覺目標跟蹤算法的準確性和實時性,提齣一種基于自適應狀態轉移的混閤跟蹤算法。首先採用零階自適應變化模型來穫取目標的可能狀態,然後利用均值漂移算法的跼部優化特性找到後驗概率的最大值。在多峰值情況下由粒子濾波隨機產生粒子,用新的粒子集來確定目標的最終位置。實驗結果錶明,這種改進的算法在保證準確性的同時,降低瞭繫統的計算時間。
위제고입자려파시각목표근종산법적준학성화실시성,제출일충기우자괄응상태전이적혼합근종산법。수선채용령계자괄응변화모형래획취목표적가능상태,연후이용균치표이산법적국부우화특성조도후험개솔적최대치。재다봉치정황하유입자려파수궤산생입자,용신적입자집래학정목표적최종위치。실험결과표명,저충개진적산법재보증준학성적동시,강저료계통적계산시간。
To improve the accuracy and real-time performance of particle filter algorithm for tracking vision object, a tracking algorithm based on adaptive state transition is proposed. Firstly, it employs a zero-order adaptive model to obtain the state of the target, and then uses local optimization characteristics of the mean-shift algorithm to find the maximum value of posteriori probability. Particle filer is used to produce more samples at the case of multi-peaks and determine the final goal set position with the new particles. Experimental results show this combined tracker provides comparable accu-racy and reduces computation complexity.