本文選題：跨視角 + 多目標(biāo)跟蹤��； 參考：《計算機學(xué)報》2018年01期

【摘要】：跨視域大場景的多目標(biāo)跟蹤與展示是智能監(jiān)控的基本需求之一.該文設(shè)計了一種基于視域拼接的跨視域多目標(biāo)跟蹤的可視化算法,借助于視頻場景中幾何信息實現(xiàn)視域拼接,從而實現(xiàn)將交通路口不同視角監(jiān)控視頻中的跟蹤目標(biāo)在統(tǒng)一的視場下展示.算法主要包含四個步驟:視域背景拼接、目標(biāo)檢測、跨視域多目標(biāo)跟蹤以及可視化顯示.其中,視域背景拼接步驟利用交通場景背景圖像幾何信息輔助的半交互方式確定特征點對,計算不同視角到參考視域平面的單應(yīng)變換矩陣,并利用SPHP算法保形后對所有配準(zhǔn)圖像線性融合以完成背景拼接;目標(biāo)檢測步驟利用ViBe背景建模算法分離目標(biāo),并進行陰影消除以提高檢測準(zhǔn)確性;跨視域多目標(biāo)跟蹤則結(jié)合各個視角到拼接視域平面的映射關(guān)系獲得目標(biāo)的定位信息,采用Kalman濾波和最小均方的軌跡匹配實現(xiàn)跨視域多目標(biāo)的一致性跟蹤;最后可視化顯示步驟則在拼接的視域背景上對跟蹤目標(biāo)進行動態(tài)可視化展示.實驗結(jié)果表明,該算法能夠在統(tǒng)一視場下展現(xiàn)多個視域的監(jiān)控場景信息,更方便于交通路口的監(jiān)控.
[Abstract]:Multi-target tracking and display is one of the basic requirements of intelligent monitoring. In this paper, a visual algorithm of multi-object tracking based on visual mosaic is designed, which realizes visual mosaic by means of geometric information in video scene. In order to achieve the traffic intersection in different visual angle surveillance video tracking targets in the unified field of view display. The algorithm consists of four steps: background mosaic, target detection, multi-target tracking and visual display. Among them, the visual background stitching step uses the semi-interactive mode assisted by the geometric information of the traffic scene background image to determine the feature point pairs, and calculates the monoclinic transformation matrix from different angles of view to the reference horizon plane. The SPHP algorithm is used to preserve the shape of all the registered images to complete the background stitching, the target detection step uses the ViBe background modeling algorithm to separate the target, and the shadow is eliminated to improve the accuracy of the detection. Based on the mapping relationship from each visual angle to the spliced horizon plane, the location information of the target is obtained, and the Kalman filter and the minimum mean square trajectory matching are used to realize the consistent tracking of the multi-targets across the horizon. Finally, the visual display step is used to visualize the tracking object on the background of the splicing field of view. The experimental results show that the algorithm can display the scene information of multiple visual fields under the unified field of view, and it is more convenient for traffic intersection monitoring.
【作者單位】： 北京理工大學(xué)計算機學(xué)院;
【基金】：國家杰出青年科學(xué)基金(61425013) 國家自然科學(xué)基金面上項目(61472035)資助
【分類號】：TP391.41

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本文編號：1957955