【摘要】：物流數(shù)據(jù)的采集是實現(xiàn)供應(yīng)鏈物流信息化的基礎(chǔ)。本文基于圖像處理的方法進行物流數(shù)據(jù)的采集,將行人作為圖像研究的運動目標進行統(tǒng)計。在運動目標檢測、分類和跟蹤的技術(shù)基礎(chǔ)上,結(jié)合目標統(tǒng)計在車站、道路、超市出入口等公共場所的廣泛應(yīng)用需求,設(shè)計并實現(xiàn)了一個基于圖像的物流數(shù)據(jù)采集系統(tǒng)。在運動目標檢測方面,本文利用背景建模的方法對監(jiān)控區(qū)域的背景進行實時更新,采用背景減除與幀間差分相結(jié)合的方法進行運動檢測,提取出運動區(qū)域。在運動目標分類方面,本文采用一種簡化了的目標分類方法,選取運動區(qū)域的高寬比和垂直投影直方圖梯度作為特征對目標進行分類,提取出行人目標,作為后續(xù)跟蹤統(tǒng)計的基礎(chǔ)。在行人跟蹤研究方面,針對Camshift算法在目標互相遮擋時易發(fā)生跟蹤丟失的缺陷,采用引入Kalman預測和Camshift匹配搜索算法完成跟蹤任務(wù)。最后,在前文研究的基礎(chǔ)上,本文針對物流數(shù)據(jù)采集系統(tǒng)的應(yīng)用需求,實現(xiàn)了在實際環(huán)境下對人體目標的檢測提取和跟蹤計數(shù)。實驗證明本文方法實用可行,統(tǒng)計數(shù)據(jù)具有較高的正確率。
[Abstract]:The collection of logistics data is the basis of realizing supply chain logistics informatization. In this paper, the method of image processing is used to collect the material flow data, and the pedestrian is regarded as the moving object of image research. Based on the technology of moving target detection, classification and tracking, and combined with the extensive application of target statistics in public places such as stations, roads, supermarket entrances and exits, an image based logistics data acquisition system is designed and implemented. In the aspect of moving target detection, the background modeling method is used to update the background of the monitored region in real time, and the method of background subtraction and inter-frame difference is used to detect the motion, and the moving region is extracted. In the aspect of moving object classification, this paper adopts a simplified target classification method, selects the aspect ratio of moving area and vertical projection histogram gradient as the feature to classify the target, and extracts the travel target. As the basis of follow-up tracking statistics. In the research of line human tracking, the Camshift algorithm is used to complete the tracking task by introducing Kalman prediction and Camshift matching search algorithm, aiming at the defects of the Camshift algorithm which is prone to the tracking loss when the targets are occluded from each other. Finally, on the basis of the previous research, this paper aims at the application demand of the logistics data acquisition system, and realizes the detection, extraction and tracking counting of the human body target in the actual environment. The experimental results show that the method is practical and the statistical data have a high accuracy.
【學位授予單位】：武漢理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP391.41

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本文編號：2393588