本文選題：運(yùn)動(dòng)目標(biāo)檢測(cè) + 混合高斯模型�。� 參考：《河北師范大學(xué)》2013年碩士論文

【摘要】：運(yùn)動(dòng)目標(biāo)檢測(cè)是計(jì)算機(jī)視覺(jué)領(lǐng)域的一個(gè)研究熱點(diǎn)運(yùn)動(dòng)目標(biāo)檢測(cè)是將視頻畫(huà)面中的前景目標(biāo)提取出來(lái)，得到前景目標(biāo)的相關(guān)信息，是目標(biāo)跟蹤和識(shí)別安全監(jiān)控等視頻處理的基礎(chǔ)，檢測(cè)結(jié)果直接影響著后續(xù)處理的效果和性能其廣泛應(yīng)用于海關(guān)工業(yè)檢測(cè)圖像處理安防等領(lǐng)域，尤其是無(wú)線(xiàn)嵌入式平臺(tái)的運(yùn)動(dòng)目標(biāo)檢測(cè)可以應(yīng)用到高危處網(wǎng)絡(luò)條件和地理環(huán)境較差的應(yīng)用場(chǎng)景，能夠克服線(xiàn)纜和空間的限制，應(yīng)用范圍更加廣泛本文針對(duì)特殊場(chǎng)景下的運(yùn)動(dòng)目標(biāo)檢測(cè)和視頻傳輸中的丟包問(wèn)題進(jìn)行了研究，對(duì)現(xiàn)行的運(yùn)動(dòng)目標(biāo)檢測(cè)和錯(cuò)誤隱藏算法進(jìn)行了改進(jìn)，并實(shí)現(xiàn)了基于TMS320DM6446嵌入式平臺(tái)的運(yùn)動(dòng)目標(biāo)檢測(cè)系統(tǒng) 本文針對(duì)因無(wú)線(xiàn)網(wǎng)絡(luò)和特殊應(yīng)用場(chǎng)景導(dǎo)致的網(wǎng)絡(luò)丟包問(wèn)題，對(duì)解碼端的錯(cuò)誤隱藏算法進(jìn)行了分析和改進(jìn)空域的錯(cuò)誤隱藏采用基于方向插值的錯(cuò)誤隱藏算法，提出了一種檢測(cè)邊緣方向的方法；時(shí)域的錯(cuò)誤隱藏利用宏塊的分割模式對(duì)各分割塊分別進(jìn)行錯(cuò)誤隱藏，本文對(duì)運(yùn)動(dòng)矢量的預(yù)測(cè)方法進(jìn)行了改進(jìn)，有效地改善了隱藏效果 針對(duì)運(yùn)動(dòng)目標(biāo)檢測(cè)算法的檢測(cè)效率問(wèn)題，在基于混合高斯模型的背景減除法和幀間差分法相結(jié)合的基礎(chǔ)上，提出了基于匹配次數(shù)的運(yùn)動(dòng)目標(biāo)檢測(cè)快速算法首先利用幀間差分法得到背景區(qū)域，然后根據(jù)每個(gè)像素的觀(guān)測(cè)值與背景模型的匹配次數(shù)將場(chǎng)景劃分為靜態(tài)區(qū)和動(dòng)態(tài)區(qū)，，最后取靜態(tài)區(qū)與幀間差分的背景區(qū)域的交集，對(duì)交集中的像素點(diǎn)進(jìn)行隔幀檢測(cè)，對(duì)其他像素點(diǎn)進(jìn)行逐幀檢測(cè)實(shí)驗(yàn)表明該算法在保證檢測(cè)質(zhì)量的前提下，明顯提高了檢測(cè)效率，更好的滿(mǎn)足了實(shí)時(shí)性 為了適用于特殊的應(yīng)用場(chǎng)景，本文實(shí)現(xiàn)了基于無(wú)線(xiàn)嵌入式平臺(tái)的運(yùn)動(dòng)目標(biāo)檢測(cè)通過(guò)對(duì)TI公司的TMS320DM6446雙核開(kāi)發(fā)板的硬件結(jié)構(gòu)和軟件架構(gòu)的學(xué)習(xí)，將x264源碼和運(yùn)動(dòng)目標(biāo)檢測(cè)源碼移植到該平臺(tái)，并對(duì)程序進(jìn)行C語(yǔ)言級(jí)和線(xiàn)性匯編級(jí)的優(yōu)化，提高了系統(tǒng)的性能
[Abstract]:Moving target detection is a hot topic in the field of computer vision. Moving target detection is to extract the foreground target from the video picture and obtain the relevant information of the foreground target. It is the basis of video processing such as target tracking and security monitoring. The result of detection directly affects the effect and performance of subsequent processing. It is widely used in the field of image processing and security in customs industry. Especially, the moving target detection of wireless embedded platform can be applied to the network condition of high risk area and the application scene of poor geographical environment, which can overcome the limitation of cable and space. In this paper, the problem of moving target detection and packet loss in video transmission is studied, and the existing algorithms of moving target detection and error concealment are improved. A moving target detection system based on TMS320DM6446 embedded platform is implemented. Aiming at the problem of packet loss in wireless networks and special application scenarios, this paper analyzes the error concealment algorithm at decoding end and improves the error concealment algorithm based on directional interpolation in spatial domain. This paper presents a method for detecting edge direction, error concealment in time domain uses the segmentation mode of macroblock to hide each partition block separately, and the prediction method of motion vector is improved in this paper, which improves the hiding effect effectively. Aiming at the detection efficiency of moving target detection algorithm, the background subtraction method based on hybrid Gao Si model and the inter-frame difference method are combined. A fast algorithm for moving target detection based on matching times is proposed. Firstly, the background region is obtained by using the difference method between frames, and then the scene is divided into static and dynamic regions according to the observed values of each pixel and the matching times of the background model. Finally, the intersection of the static region and the background region of the difference between frames is taken to detect the pixels in the intersection. The experiment of frame by frame detection of the other pixel points shows that the algorithm improves the detection efficiency obviously under the premise of guaranteeing the detection quality. Better meets the real time. In order to be suitable for special application scenarios, this paper realizes the detection of moving targets based on wireless embedded platform by learning the hardware structure and software architecture of TI's TMS320DM6446 dual-core development board. The X264 source code and the moving target detection source code are transplanted to the platform, and the program is optimized at the C language level and the linear assembly level, which improves the performance of the system.
【學(xué)位授予單位】：河北師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：TP368.1;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 石書(shū)博;張遠(yuǎn)鵬;;基于DM6446的數(shù)字視頻通信系統(tǒng)的研究[J];日用電器;2010年07期

2 范瑩,郭成安;一種運(yùn)動(dòng)圖像的檢測(cè)與識(shí)別技術(shù)[J];大連理工大學(xué)學(xué)報(bào);2004年01期

3 宋磊;方向忠;;達(dá)芬奇技術(shù)的視頻應(yīng)用分析[J];電視技術(shù);2006年09期

4 張新安;;基于DM642的AVS-M視頻編碼器的設(shè)計(jì)與優(yōu)化[J];電視技術(shù);2007年12期

5 張雅麗;付煒;;基于分塊模式和雙模式疊加的時(shí)域錯(cuò)誤隱藏[J];計(jì)算機(jī)安全;2011年01期

6 張建龍;吳成柯;高新波;;一種基于雙域拉格朗日插值的視頻錯(cuò)誤隱藏方法[J];電子學(xué)報(bào);2007年04期

7 夏正友;陳臨強(qiáng);;基于快速的混合高斯模型的運(yùn)動(dòng)目標(biāo)檢測(cè)算法[J];杭州電子科技大學(xué)學(xué)報(bào);2011年02期

8 宋玉鋒,周泓;遠(yuǎn)程數(shù)字視頻監(jiān)控系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[J];計(jì)算機(jī)工程;2002年08期

9 李偉;陳臨強(qiáng);殷偉良;;基于自適應(yīng)學(xué)習(xí)率的背景建模方法[J];計(jì)算機(jī)工程;2011年15期

10 曾桂三;張剛;;基于TMS320DM6446 DSP優(yōu)化1/4像素插值算法[J];太原理工大學(xué)學(xué)報(bào);2008年S1期

相關(guān)碩士學(xué)位論文 前4條

1 王翠;AVS視頻編碼標(biāo)準(zhǔn)的幀間預(yù)測(cè)算法的研究及其在DSP上的實(shí)現(xiàn)[D];太原理工大學(xué);2008年

2 何鐘逸;嵌入式linux的視頻采集系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];暨南大學(xué);2008年

3 柴穎;基于DM6446的嵌入式視頻監(jiān)控系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];暨南大學(xué);2010年

4 祝睿杰;嵌入式網(wǎng)絡(luò)多媒體終端與實(shí)時(shí)圖像傳輸[D];北京郵電大學(xué);2010年

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