基于智能視頻處理技術(shù)的監(jiān)獄監(jiān)控系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)
本文選題:嵌入式 切入點(diǎn):多線程編程 出處:《中山大學(xué)》2014年碩士論文
【摘要】:在人工智能技術(shù)和嵌入式技術(shù)不斷發(fā)展的今天,,模式識(shí)別技術(shù)有了長(zhǎng)足的發(fā)展,也使得人們對(duì)視頻監(jiān)控有了更高的要求。而基于智能識(shí)別技術(shù)的視頻監(jiān)控在嵌入式產(chǎn)品中的應(yīng)用也越來(lái)越廣泛。具體到監(jiān)獄安防領(lǐng)域,其對(duì)視頻監(jiān)控產(chǎn)品更是提出了實(shí)時(shí)監(jiān)控和預(yù)警的需求。在這種需求的激勵(lì)系啊,也為了能夠更好地完善監(jiān)獄安防工作,及時(shí)發(fā)現(xiàn)被監(jiān)控對(duì)象的異常行為并實(shí)現(xiàn)實(shí)時(shí)預(yù)警,文中重點(diǎn)對(duì)基于視頻處理技術(shù)的監(jiān)獄監(jiān)控系統(tǒng)進(jìn)行設(shè)計(jì)與實(shí)現(xiàn)。在文中系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn)過(guò)程中,所采用的核心芯片為S3C2410,同時(shí)以國(guó)內(nèi)某公司所研發(fā)的ARM9開(kāi)發(fā)板基礎(chǔ),對(duì)一種多層次實(shí)時(shí)監(jiān)控和預(yù)警的智能監(jiān)控網(wǎng)絡(luò)系統(tǒng)進(jìn)行開(kāi)發(fā)。該系統(tǒng)以嵌入式的Web視頻實(shí)時(shí)監(jiān)控設(shè)備為實(shí)現(xiàn)核心,在結(jié)合網(wǎng)絡(luò)通信技術(shù)和圖像識(shí)別技術(shù)的基礎(chǔ)上,實(shí)現(xiàn)以本地視頻智能分析預(yù)警為中心、以及區(qū)、市和省級(jí)監(jiān)控中心為骨干的多層次網(wǎng)絡(luò)。從而能夠更好的滿足監(jiān)獄安防這一特殊行業(yè)對(duì)安防產(chǎn)品的要求。 在本文系統(tǒng)中,微處理器采用S3C2410,而嵌入式的操作系統(tǒng)則主要采用Linux系統(tǒng),從而有效節(jié)約了系統(tǒng)的研發(fā)和使用成本。其中,系統(tǒng)中的軟件部分還包括有對(duì)攝像頭的驅(qū)動(dòng)和采集。而采集過(guò)程又可以分為單幀/多幀圖像的采集和視頻流采集。 在軟硬件環(huán)境構(gòu)建的基礎(chǔ)上,系統(tǒng)還對(duì)基于C/S模式的網(wǎng)絡(luò)視頻實(shí)時(shí)監(jiān)控、網(wǎng)絡(luò)實(shí)時(shí)圖像智能分析和多級(jí)自動(dòng)報(bào)警等功能進(jìn)行了詳細(xì)說(shuō)明。此外,通過(guò)對(duì)文中內(nèi)容的深入研究,文中作者對(duì)各種嵌入式編程技術(shù)、多線程編程、圖像分割技術(shù)等進(jìn)行了深入分析。同時(shí),還對(duì)嵌入式系統(tǒng)的軟件開(kāi)發(fā)流程以及嵌入式Linux的遠(yuǎn)程調(diào)試等進(jìn)行了分析和挖掘,為系統(tǒng)的開(kāi)發(fā)和調(diào)試奠定基礎(chǔ),有效縮短了系統(tǒng)的研發(fā)周期。
[Abstract]:With the continuous development of artificial intelligence and embedded technology, pattern recognition technology has made great progress. It also makes people have higher requirements for video surveillance. And video surveillance based on intelligent identification technology is more and more widely used in embedded products. It has put forward the demand for real-time monitoring and early warning for video surveillance products. In the incentive system of this demand, ah, in order to better improve prison security work, to detect the abnormal behavior of the monitored objects in time and to realize real-time early warning, This paper focuses on the design and implementation of the prison monitoring system based on video processing technology. In the design and implementation of the system, the core chip is S3C2410, and the base of the ARM9 development board developed by a domestic company. An intelligent monitoring network system with multi-level real-time monitoring and early warning is developed. The system uses embedded Web video real-time monitoring equipment as the core, and combines network communication technology and image recognition technology. To realize the multi-level network with local video intelligent analysis and warning as the center and the district, city and provincial monitoring center as the backbone, which can better meet the requirements of the security products of the special industry of prison security. In this system, the microprocessor uses S3C2410, while the embedded operating system mainly adopts Linux system, which saves the cost of research and development of the system. The software of the system also includes the drive and acquisition of the camera, and the acquisition process can be divided into single-frame / multi-frame image acquisition and video stream acquisition. Based on the construction of software and hardware environment, the functions of real-time monitoring of network video based on C / S mode, intelligent analysis of network real-time images and multi-level automatic alarm are described in detail. In this paper, various embedded programming techniques, multi-thread programming and image segmentation techniques are deeply analyzed. At the same time, the software development flow of embedded system and remote debugging of embedded Linux are analyzed and mined. It lays a foundation for the development and debugging of the system and effectively shortens the research and development cycle of the system.
【學(xué)位授予單位】:中山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN948.6
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