【摘要】：提出了1個基于Kalman濾波和局部區(qū)域匹配的足球球員檢測算法。首先利用改進的主顏色分割提取場地,使得預(yù)設(shè)參數(shù)個數(shù)降為1個,增加了算法的適用性;其次對球員進行運動跟蹤,根據(jù)Kalman濾波器預(yù)測的位置設(shè)置局部搜索區(qū)域,采用局部構(gòu)圖的方法獲得球員最佳匹配,并在球員遮擋情況下對不同隊球員和裁判間的分離采用顏色直方圖匹配和質(zhì)心判定,對同隊隊員遮擋輔助相對位置及運動軌跡跟蹤。實驗證明,該算法對于多目標在場景中的遮擋、分離、消失及出現(xiàn)均具有很好的處理效果。
[Abstract]:A soccer player detection algorithm based on Kalman filtering and local area matching is proposed. Firstly, the improved main color segmentation is used to extract the site, which reduces the number of preset parameters to 1, which increases the applicability of the algorithm. Secondly, the players are tracked, the local search area is set according to the position predicted by the Kalman filter, and the best match of players is obtained by the method of local composition. The color histogram matching and centroid decision are used to separate the players and referees under the condition of player occlusion, and the auxiliary relative position and motion track of the same team members are occluded by using the color histogram matching and centroid decision. The experimental results show that the algorithm has a good effect on the occlusion, separation, disappearance and appearance of multi-targets in the scene.
【作者單位】： 河北工業(yè)大學電子信息工程學院;河北工業(yè)大學計算機科學與軟件學院;
【基金】：天津市科技計劃項目(14RCGFGX00846) 河北省自然科學基金面上項目(F2015202239)
【分類號】：TN713;TP391.41
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本文編號：2461076