本文選題：視頻摘要 + 目標檢測��； 參考：《合肥工業(yè)大學》2016年碩士論文

【摘要】：隨著經(jīng)濟社會的快速發(fā)展,智能化的視頻監(jiān)控系統(tǒng)的快速普及,導致海量視頻數(shù)據(jù)爆炸式增長。如何高效的處理、存儲視頻,提高視頻的利用率及瀏覽視頻的效率,一直是計算機視覺領域的研究熱門。為此,本文提出一種基于多目標跟蹤的視頻摘要的方法。本文的主要研究工作及創(chuàng)新點如下：(1)本文提出基于廣義關聯(lián)聚類圖的分層關聯(lián)多目標跟蹤算法。把多目標跟蹤看作圖的分割問題,利用廣義關聯(lián)聚類圖的算法,在給定一個滑動時間窗口內(nèi),對某個目標每幀出現(xiàn)的檢測圖片一次性數(shù)據(jù)融合,得到自適應的軌跡片段。對軌跡片段進一步數(shù)據(jù)融合,得到完整運動軌跡,完成多目標跟蹤任務。本文的算法在復雜場景下,對遮擋處理,以及身份轉換問題有很好的處理能力。公共數(shù)據(jù)集上的實驗結果表明,本文的方法在多目標跟蹤精度和跟蹤準確度上都高于主流方法。(2)本文提出一種基于多目標跟蹤的視頻摘要方法。將不同時刻出現(xiàn)的運動目標,在同一段視頻幀顯示,生成摘要視頻。本文的視頻摘要方法滿足項目對實時性的要求,以多目標跟蹤的運動軌跡為基礎,保留運動物體的空間信息的前提下,將運動目標的檢測圖片重新組合整理,回貼到背景圖片中得到。通過本文方法得到的摘要視頻,能夠有效壓縮原始視頻,減少視頻的存儲空間,縮短視頻的瀏覽時間,提高視頻的利用率。(3)本文實現(xiàn)了視頻摘要系統(tǒng)軟件。本文使用C++編程語言,依靠第三方軟件庫OpenCV,編寫出以MFC為界面的視頻摘要系統(tǒng)。系統(tǒng)界面簡約清晰,操作容易,可以方便生成和瀏覽摘要視頻。
[Abstract]:With the rapid development of economy and society, the rapid popularization of intelligent video surveillance system leads to the explosive growth of massive video data.How to process and store video efficiently, improve the efficiency of video utilization and browse video has been a hot topic in the field of computer vision.Therefore, this paper presents a method of video summarization based on multi-target tracking.The main research work and innovation of this paper are as follows: 1) in this paper, a hierarchical association multi-target tracking algorithm based on generalized association clustering graph is proposed.The multi-target tracking is regarded as the segmentation problem of the graph, and the algorithm of generalized association clustering graph is used. In a given sliding time window, the detection pictures appear in each frame of a target are fused in a single time, and an adaptive trajectory segment is obtained.The track segment is further fused to obtain the complete motion trajectory, and the multi-target tracking task is completed.The algorithm in this paper can deal with occlusion and identity conversion in complex scenarios.Experimental results on common data sets show that the proposed method is superior to the mainstream method in tracking accuracy and accuracy. (2) this paper proposes a video summarization method based on multi-target tracking.The moving objects at different times are displayed in the same video frame, and the summary video is generated.The video summary method in this paper meets the real-time requirements of the project. Based on the motion track of multi-target tracking and keeping the spatial information of the moving object, the detection pictures of the moving object are recombined and arranged.Return to the background image to get it.The abstract video can compress the original video effectively, reduce the storage space of the video, shorten the browsing time of the video, and improve the utilization ratio of the video.This paper uses C programming language, relying on the third party software library OpenCV, to write a video summary system with MFC interface.System interface is simple and clear, easy to operate, can easily generate and browse summary video.
【學位授予單位】：合肥工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TN948.6

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