【摘要】：隨著家居安全意識(shí)的不斷提高,室內(nèi)移動(dòng)智能視頻監(jiān)控技術(shù)在安全應(yīng)用領(lǐng)域中扮演著重要的角色,其中以人為目標(biāo)實(shí)時(shí)有效地監(jiān)控檢測(cè)識(shí)別室內(nèi)異常行為一直是研究的難點(diǎn)。由于智能終端的便捷性,移動(dòng)性和集成性,將本文提出家居安全的異常行為檢測(cè)算法移植到智能手機(jī)平臺(tái)上,將改變傳統(tǒng)的監(jiān)控視頻處理方式,使其更具靈活性,提高了視頻監(jiān)控識(shí)別系統(tǒng)的實(shí)時(shí)性。同時(shí)綜合利用移動(dòng)互聯(lián)網(wǎng)和互聯(lián)網(wǎng)技術(shù)來(lái)完善視頻監(jiān)控識(shí)別系統(tǒng)的報(bào)警功能。本文通過(guò)分析面向家居安全的移動(dòng)視頻監(jiān)控識(shí)別系統(tǒng)的功能需求,主要是從家居安全的異常行為檢測(cè)算法、面向智能手機(jī)的異常行為視覺(jué)檢測(cè)識(shí)別和基于移動(dòng)互聯(lián)網(wǎng)和互聯(lián)網(wǎng)技術(shù)的報(bào)警通信三個(gè)方面進(jìn)行研究與實(shí)現(xiàn)。論文的主要工作如下:首先,針對(duì)常見(jiàn)的兩種家居安全的異常行為即異常入室行為和室內(nèi)獨(dú)守老人摔倒行為,我們提出了一種家居安全的異常行為檢測(cè)算法。該算法把這兩種異常行為的檢測(cè)識(shí)別方法融合在一起,減少了檢測(cè)算法的冗余度和復(fù)雜度。對(duì)于異常入室行為的檢測(cè)識(shí)別是通過(guò)對(duì)檢測(cè)到的運(yùn)動(dòng)目標(biāo)大小進(jìn)行合理性判別。而對(duì)于摔倒行為檢測(cè)是在確定異常運(yùn)動(dòng)目標(biāo),寬長(zhǎng)比的基礎(chǔ)上,采用有效面積、重心變化率和狀態(tài)維持機(jī)制對(duì)檢測(cè)結(jié)果排錯(cuò)修正,從而提高了檢測(cè)系統(tǒng)的可靠性。家居安全的異常行為檢測(cè)算法的復(fù)雜度比較低,效率高,可靠性高,具有較好的自適應(yīng)性。其次,為了充分合理利用智能手機(jī)集成的硬件資源,進(jìn)一步提高室內(nèi)異常行為的檢測(cè)識(shí)別的實(shí)時(shí)性,移動(dòng)性和便捷性,我們對(duì)面向智能手機(jī)的異常行為視覺(jué)檢測(cè)系統(tǒng)進(jìn)行了深入研究,并且在智能手機(jī)平臺(tái)上實(shí)現(xiàn)原始視頻圖像數(shù)據(jù)采集,家居安全的異常行為檢測(cè)算法,結(jié)果圖像顯示以及系統(tǒng)報(bào)警機(jī)制。面向智能手機(jī)的異常行為視覺(jué)檢測(cè)系統(tǒng)避免了傳統(tǒng)的視頻監(jiān)控行為檢測(cè)系統(tǒng)在安裝成本,便捷性和實(shí)時(shí)性等方面的約束。最后,系統(tǒng)改進(jìn)了家居安全的異常行為檢測(cè)算法和單一的SMS(Short Messaging Service)報(bào)警機(jī)制,并且將家居安全的異常行為檢測(cè),用戶查看報(bào)警信息等功能整合在同一個(gè)應(yīng)用程序系統(tǒng)中,從而最終實(shí)現(xiàn)了面向家居安全的移動(dòng)視頻監(jiān)控識(shí)別系統(tǒng)。在系統(tǒng)優(yōu)化中,改進(jìn)型家居安全的異常行為檢算法綜合利用了智能手機(jī)的光環(huán)境傳感器硬件資源,提高了系統(tǒng)中異常行為檢測(cè)對(duì)光照強(qiáng)度變化的抗干擾性;改進(jìn)型報(bào)警機(jī)制將基于移動(dòng)互聯(lián)網(wǎng)/互聯(lián)網(wǎng)技術(shù)的主動(dòng)型SMS報(bào)警方式和被動(dòng)型圖文報(bào)警方式相結(jié)合,完善了系統(tǒng)報(bào)警機(jī)制的功能。
[Abstract]:With the continuous improvement of home safety awareness, indoor mobile intelligent video surveillance technology plays an important role in the field of security applications. Because of the convenience, mobility and integration of intelligent terminals, this paper proposes an anomaly detection algorithm for home security to be transplanted to smart phone platform, which will change the traditional video processing mode and make it more flexible. The real-time performance of video surveillance and recognition system is improved. At the same time, the mobile Internet and Internet technology are used to improve the alarm function of video surveillance and identification system. This paper analyzes the functional requirements of the mobile video surveillance and identification system for home security, mainly from the home security abnormal behavior detection algorithm. The research and implementation of smart phone oriented vision detection and recognition of abnormal behavior and alarm communication based on mobile Internet and Internet technology are carried out. The main work of this paper is as follows: firstly, aiming at two kinds of abnormal behavior of home safety, namely, abnormal behavior of entering the house and falling down behavior of the elderly alone in the room, we propose a detection algorithm of abnormal behavior of home safety. The algorithm combines the two detection and recognition methods of abnormal behavior and reduces the redundancy and complexity of the detection algorithm. The detection and recognition of abnormal entry behavior is based on the rationality of the size of the detected moving object. On the basis of determining the target of abnormal motion and the ratio of width to length, the effective area, the change rate of gravity center and the state maintenance mechanism are adopted to correct the detection results, thus improving the reliability of the detection system. The anomaly detection algorithm of home safety has low complexity, high efficiency, high reliability and good adaptability. Secondly, in order to make full use of the integrated hardware resources of smart phones and further improve the real-time, mobility and convenience of indoor abnormal behavior detection and identification, We have carried on the thorough research to the smart phone oriented abnormal behavior vision detection system, and realized the original video image data acquisition, the home security unusual behavior detection algorithm on the smart phone platform, Results Image display and system alarm mechanism. The smart phone oriented visual detection system for abnormal behavior avoids the constraints of the traditional video surveillance behavior detection system in terms of installation cost convenience and real-time. Finally, the system improves the abnormal behavior detection algorithm of home safety and the single SMS (Short Messaging Service) alarm mechanism, and integrates the abnormal behavior detection of home safety, the user view alarm information and other functions in the same application system. Finally, the mobile video surveillance and identification system for home security is realized. In the system optimization, the improved abnormal behavior detection algorithm of home safety synthetically utilizes the hardware resources of the light environment sensor of the smart phone, and improves the anti-interference ability of the abnormal behavior detection to the illumination intensity change in the system. The improved alarm mechanism combines the active SMS alarm mode based on the mobile Internet / Internet technology and the passive graphic and text alarm mode to perfect the function of the system alarm mechanism.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN948.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 許繼平;李景濤;彭森;陳天華;;基于三軸加速度傳感器的老年人摔倒檢測(cè)系統(tǒng)[J];計(jì)算機(jī)仿真;2014年12期

2 龐首顏;張?jiān)獎(jiǎng)?;基于三幀差分及Canny算子的運(yùn)動(dòng)目標(biāo)提取[J];重慶工商大學(xué)學(xué)報(bào)(自然科學(xué)版);2013年05期

3 李鈺;蘇育挺;;基于Android平臺(tái)的行人檢測(cè)系統(tǒng)[J];電子測(cè)量技術(shù);2012年12期

4 朱旭東;劉志鏡;;基于主題隱馬爾科夫模型的人體異常行為識(shí)別[J];計(jì)算機(jī)科學(xué);2012年03期

5 盛旭鋒;朱方文;李校祖;莊俊;;基于三幀時(shí)間差分法的獨(dú)居老人運(yùn)動(dòng)檢測(cè)[J];計(jì)算機(jī)工程與應(yīng)用;2010年13期

6 印勇;張毅;劉丹平;;基于改進(jìn)Hu矩的異常行為識(shí)別[J];計(jì)算機(jī)技術(shù)與發(fā)展;2009年09期

7 胡以靜;李政訪;胡躍明;;基于光流的運(yùn)動(dòng)分析理論及應(yīng)用[J];計(jì)算機(jī)測(cè)量與控制;2007年02期

8 雍楊;王敬儒;張啟衡;;復(fù)雜背景下運(yùn)動(dòng)目標(biāo)分割算法研究[J];系統(tǒng)工程與電子技術(shù);2005年12期

相關(guān)碩士學(xué)位論文 前10條

1 李艷飛;基于多傳感器融合的人體定位與行為異常檢測(cè)[D];浙江大學(xué);2016年

2 陳超;基于OpenCV在Android平臺(tái)實(shí)現(xiàn)物體跟蹤的研究[D];沈陽(yáng)工業(yè)大學(xué);2015年

3 嵇金榮;基于Android平臺(tái)智能視頻監(jiān)控系統(tǒng)的研究與實(shí)現(xiàn)[D];江蘇科技大學(xué);2014年

4 王凱;基于Android平臺(tái)的快速啟動(dòng)技術(shù)的研究與實(shí)現(xiàn)[D];電子科技大學(xué);2013年

5 欒松;基于Android平臺(tái)遠(yuǎn)程視頻監(jiān)控系統(tǒng)關(guān)鍵技術(shù)的研究[D];東北農(nóng)業(yè)大學(xué);2012年

6 常志沛;基于Android的智能手機(jī)視頻監(jiān)控系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];大連海事大學(xué);2011年

7 余榮發(fā);基于Android的移動(dòng)視頻監(jiān)控系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];華南理工大學(xué);2011年

8 朱國(guó)斌;基于 Android 系統(tǒng)的 Camera 模塊設(shè)計(jì)和實(shí)現(xiàn)[D];西安電子科技大學(xué);2011年

9 寧栗;基于Android平臺(tái)視頻監(jiān)控系統(tǒng)的設(shè)計(jì)[D];北京郵電大學(xué);2011年

10 孫杰;基于Android平臺(tái)圖像處理算法的研究與實(shí)現(xiàn)[D];北京郵電大學(xué);2011年

，

本文編號(hào)：2247522