發(fā)布時間：2018-09-18 09:46

【摘要】：隨著家居安全意識的不斷提高,室內(nèi)移動智能視頻監(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)實時有效地監(jiān)控檢測識別室內(nèi)異常行為一直是研究的難點。由于智能終端的便捷性,移動性和集成性,將本文提出家居安全的異常行為檢測算法移植到智能手機平臺上,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)控識別系統(tǒng)的實時性。同時綜合利用移動互聯(lián)網(wǎng)和互聯(lián)網(wǎng)技術(shù)來完善視頻監(jiān)控識別系統(tǒng)的報警功能。本文通過分析面向家居安全的移動視頻監(jiān)控識別系統(tǒng)的功能需求,主要是從家居安全的異常行為檢測算法、面向智能手機的異常行為視覺檢測識別和基于移動互聯(lián)網(wǎng)和互聯(lián)網(wǎng)技術(shù)的報警通信三個方面進(jìn)行研究與實現(xiàn)。論文的主要工作如下:首先,針對常見的兩種家居安全的異常行為即異常入室行為和室內(nèi)獨守老人摔倒行為,我們提出了一種家居安全的異常行為檢測算法。該算法把這兩種異常行為的檢測識別方法融合在一起,減少了檢測算法的冗余度和復(fù)雜度。對于異常入室行為的檢測識別是通過對檢測到的運動目標(biāo)大小進(jìn)行合理性判別。而對于摔倒行為檢測是在確定異常運動目標(biāo),寬長比的基礎(chǔ)上,采用有效面積、重心變化率和狀態(tài)維持機制對檢測結(jié)果排錯修正,從而提高了檢測系統(tǒng)的可靠性。家居安全的異常行為檢測算法的復(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集成的硬件資源,進(jìn)一步提高室內(nèi)異常行為的檢測識別的實時性,移動性和便捷性,我們對面向智能手機的異常行為視覺檢測系統(tǒng)進(jìn)行了深入研究,并且在智能手機平臺上實現(xiàn)原始視頻圖像數(shù)據(jù)采集,家居安全的異常行為檢測算法,結(jié)果圖像顯示以及系統(tǒng)報警機制。面向智能手機的異常行為視覺檢測系統(tǒng)避免了傳統(tǒng)的視頻監(jiān)控行為檢測系統(tǒng)在安裝成本,便捷性和實時性等方面的約束。最后,系統(tǒng)改進(jìn)了家居安全的異常行為檢測算法和單一的SMS(Short Messaging Service)報警機制,并且將家居安全的異常行為檢測,用戶查看報警信息等功能整合在同一個應(yīng)用程序系統(tǒng)中,從而最終實現(xiàn)了面向家居安全的移動視頻監(jiān)控識別系統(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)中異常行為檢測對光照強度變化的抗干擾性;改進(jìn)型報警機制將基于移動互聯(lián)網(wǎng)/互聯(lián)網(wǎng)技術(shù)的主動型SMS報警方式和被動型圖文報警方式相結(jié)合,完善了系統(tǒng)報警機制的功能。
[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)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN948.6

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本文編號：2247522