本文選題：多攝像機 + 無重疊視野域�。� 參考：《北京交通大學(xué)》2014年碩士論文

【摘要】：隨著社會的發(fā)展,智能監(jiān)控技術(shù)逐步成為計算機視覺領(lǐng)域研究的重點。為了滿足監(jiān)控場景的需求,全面的獲得運動目標信息,需要多個攝像機的協(xié)同合作。而對監(jiān)控范圍和計算量等因素的綜合考量,無重疊視野域的多攝像機目標跟蹤技術(shù)受到了廣泛的關(guān)注。 在多攝像機無重疊視野域的監(jiān)控環(huán)境中,由于不同攝像機視野域內(nèi)的光照情況、目標姿態(tài)等因素的不同,造成同一目標在不同攝像機中的成像有所不同,進而給多攝像機之間的目標匹配帶來困難；同時,由于多個攝像機之間存在盲區(qū),當運動目標消失在盲區(qū)時,系統(tǒng)無法獲知目標的運動信息,進而無法實現(xiàn)對目標的連續(xù)跟蹤。針對以上問題,本文對無重疊視野域多攝像機的目標跟蹤技術(shù)進行了研究,主要工作如下： 第一,實現(xiàn)了單攝像機下的目標檢測與跟蹤,并對陰影去除和目標跟蹤算法做了一定的改進。 第二,針對多攝像機無重疊視野域的目標跟蹤匹配問題,本文提出了兩種目標匹配方法：(1)在有訓(xùn)練集的情況下,提出了一種基于亮度轉(zhuǎn)換函數(shù)子空間的分層目標匹配法,利用概率主成分分析法對一對攝像機之間的亮度轉(zhuǎn)換函數(shù)空間進行降維處理,并采取雙向映射,再結(jié)合目標顏色分布的區(qū)域特征對目標進行匹配；(2)沒有訓(xùn)練集的情況下,在量化的HSV空間中,利用信息熵描述目標顏色分布對目標顏色特征的貢獻程度,在目標顏色特征中融入顏色空間分布信息,從而提高了目標匹配的準確度。 第三,提出一種基于Agent的多攝像機無重疊視野域的目標跟蹤方法。利用智能Agent代理攝像機,從而使攝像機具有Agent的特性。多個攝像機之間可以通過消息通信進行協(xié)同合作,進而對監(jiān)控場景中出現(xiàn)的遮擋、盲區(qū)等現(xiàn)象給目標跟蹤帶來的問題進行處理。 第四,利用JADE平臺搭建多Agent系統(tǒng),初步實現(xiàn)多攝像機智能代理系統(tǒng)。并利用真實視頻數(shù)據(jù)驗證基于Agent的多攝像機無重疊視野域的目標跟蹤方法的有效性。
[Abstract]:With the development of society, intelligent monitoring technology has gradually become the focus of computer vision research.In order to meet the needs of the monitoring scene and obtain the moving target information comprehensively, the cooperation of multiple cameras is needed.However, considering the monitoring range and computational complexity, the multi-camera tracking technology without overlapping field of vision has been paid more and more attention.In the surveillance environment of multi-camera with no overlapping field of vision, the imaging of the same target in different cameras is different due to the different illumination and attitude of the target in different camera field.At the same time, because of the blind area between multiple cameras, the system can not get the moving information of the target when the moving object disappears in the blind area, and then can not realize the continuous tracking of the target.Aiming at the above problems, this paper studies the target tracking technology of multi-camera with no overlapping field of view. The main work is as follows:First, the target detection and tracking under single camera is realized, and the shadow removal and target tracking algorithms are improved.Secondly, aiming at the problem of target tracking and matching without overlapping field of view of multiple cameras, this paper proposes two target matching methods: 1) in the case of training set, a hierarchical target matching method based on brightness conversion function subspace is proposed.Using probabilistic principal component analysis (PPCA), the brightness conversion function space between a pair of cameras is reduced, and bidirectional mapping is adopted to match the target with the regional features of the color distribution.In the quantized HSV space, the information entropy is used to describe the contribution of the object color distribution to the target color feature, and the color space distribution information is incorporated into the target color feature, thus the accuracy of target matching is improved.Thirdly, a target tracking method based on Agent is proposed.The intelligent Agent proxy camera is used to make the camera have the characteristics of Agent.Multiple cameras can cooperate with each other through message communication to deal with the problems of target tracking caused by the occlusion and blind area in the monitoring scene.Fourthly, the multi-Agent system is built on JADE platform, and the multi-camera intelligent agent system is preliminarily realized.The real video data is used to verify the effectiveness of the target tracking method based on Agent.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.41;TN948.41

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本文編號：1749671