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基于DSP的目標(biāo)檢測(cè)與跟蹤系統(tǒng)設(shè)計(jì)

發(fā)布時(shí)間:2018-04-20 12:40

  本文選題:智能監(jiān)控 + DSP。 參考:《湖南大學(xué)》2012年碩士論文


【摘要】:視頻監(jiān)控作為安全防范的一種重要的手段越來越受到人們的關(guān)注,特別是在機(jī)場(chǎng)、銀行、地鐵等敏感區(qū)域的實(shí)時(shí)監(jiān)控。隨著人們對(duì)視頻監(jiān)控系統(tǒng)實(shí)時(shí)性、準(zhǔn)確性、自動(dòng)化程度等要求的不斷提高,基于計(jì)算機(jī)視覺和視頻分析的智能視頻監(jiān)控系統(tǒng)已經(jīng)成為視頻監(jiān)控領(lǐng)域的重要研究?jī)?nèi)容,并代表著視頻監(jiān)控未來的發(fā)展方向。智能視頻監(jiān)控系統(tǒng)利用計(jì)算機(jī)視覺和視頻分析等技術(shù),在不需要人為參與的情況下,對(duì)攝像機(jī)采集到的視頻圖像進(jìn)行自動(dòng)分析、處理,得到視頻圖像中目標(biāo)的特征信息,并根據(jù)目標(biāo)的運(yùn)動(dòng)信息做出反應(yīng)。 為滿足智能視頻監(jiān)控系統(tǒng)對(duì)實(shí)時(shí)性、跟蹤準(zhǔn)確性、可靠性的性能要求,本文設(shè)計(jì)并實(shí)現(xiàn)了一套基于通用DSP芯片的智能監(jiān)控系統(tǒng),實(shí)現(xiàn)了監(jiān)控場(chǎng)景中目標(biāo)的自動(dòng)檢測(cè)跟蹤,并在顯示界面進(jìn)行標(biāo)注顯示。論文的主要工作包括: 首先,設(shè)計(jì)實(shí)現(xiàn)了基于DSP的智能監(jiān)控系統(tǒng)的硬件平臺(tái),并根據(jù)智能監(jiān)控系統(tǒng)的處理流程對(duì)硬件平臺(tái)的各個(gè)功能模塊進(jìn)行設(shè)計(jì)實(shí)現(xiàn)。與現(xiàn)有視頻監(jiān)控系統(tǒng)硬件平臺(tái)相比,基于通用DSP芯片的硬件實(shí)現(xiàn)方案具有通用性強(qiáng)、具有良好可擴(kuò)展性等優(yōu)點(diǎn); 然后,在視頻監(jiān)控平臺(tái)的基礎(chǔ)上完成了智能監(jiān)控系統(tǒng)的軟件設(shè)計(jì),包括視頻圖像采集、圖像的處理及上位機(jī)的目標(biāo)跟蹤顯示等模塊。通過分析背景減除法、幀間差分法及光流法三種目標(biāo)檢測(cè)跟蹤算法的性能,選擇背景減除法作為本系統(tǒng)中運(yùn)動(dòng)目標(biāo)檢測(cè)跟蹤的算法,并通過實(shí)驗(yàn)驗(yàn)證了,在實(shí)時(shí)性及目標(biāo)檢測(cè)的準(zhǔn)確度方面具有明顯的優(yōu)越性。 最后,結(jié)合對(duì)當(dāng)前系統(tǒng)硬件平臺(tái)進(jìn)行了調(diào)試,并驗(yàn)證了系統(tǒng)的的檢測(cè)跟蹤效果。根據(jù)本文系統(tǒng)的工作和不足做了系統(tǒng)總結(jié),,并針對(duì)未來的研究方向做了展望。
[Abstract]:As an important means of security, video surveillance has attracted more and more attention, especially in sensitive areas such as airport, bank, subway and so on. With the improvement of real-time, accuracy and automation of video surveillance system, intelligent video surveillance system based on computer vision and video analysis has become an important research content in the field of video surveillance. And represents the future direction of video surveillance. The intelligent video surveillance system makes use of computer vision and video analysis techniques to automatically analyze and process the video images collected by the camera without the participation of human beings, so as to obtain the characteristic information of the target in the video images. And according to the moving information of the target to make a response. In order to meet the requirements of real-time, tracking accuracy and reliability of intelligent video surveillance system, this paper designs and implements an intelligent monitoring system based on universal DSP chip, which realizes the automatic detection and tracking of targets in monitoring scene. And in the display interface label display. The main work of the thesis includes: Firstly, the hardware platform of the intelligent monitoring system based on DSP is designed and implemented, and the function modules of the hardware platform are designed and implemented according to the processing flow of the intelligent monitoring system. Compared with the existing hardware platform of video surveillance system, the hardware implementation scheme based on general DSP chip has the advantages of good generality and good expansibility. Then, the software design of the intelligent monitoring system is completed on the basis of the video monitoring platform, including video image acquisition, image processing and target tracking and display module of the upper computer. By analyzing the performance of three target detection and tracking algorithms, background subtraction, inter-frame differential and optical flow, background subtraction is selected as the moving target detection and tracking algorithm in this system. It has obvious superiority in real time and accuracy of target detection. Finally, the hardware platform of the current system is debugged, and the detection and tracking effect of the system is verified. According to the work and deficiency of this paper, the future research direction is prospected.
【學(xué)位授予單位】:湖南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:TP391.41;TP368.1

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