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基于嵌入式視頻監(jiān)控的摔倒檢測系統(tǒng)的設(shè)計(jì)

發(fā)布時(shí)間:2018-01-06 08:00

  本文關(guān)鍵詞:基于嵌入式視頻監(jiān)控的摔倒檢測系統(tǒng)的設(shè)計(jì) 出處:《電視技術(shù)》2014年15期  論文類型:期刊論文


  更多相關(guān)文章: 嵌入式 遠(yuǎn)程監(jiān)控 摔倒檢測


【摘要】:為了迅速獲得老人跌倒信息,使其得到及時(shí)救助,設(shè)計(jì)和實(shí)現(xiàn)了基于嵌入式視頻監(jiān)控的摔倒檢測系統(tǒng)。該系統(tǒng)無需人體佩戴任何設(shè)備,即可自動(dòng)檢測老人跌倒信息并報(bào)警。對監(jiān)控到的視頻流采用H.264標(biāo)準(zhǔn)進(jìn)行編碼壓縮,運(yùn)用B/S網(wǎng)絡(luò)結(jié)構(gòu)模式實(shí)現(xiàn)遠(yuǎn)程視頻監(jiān)控。同時(shí),對監(jiān)控到的視頻流進(jìn)行人體摔倒檢測以實(shí)現(xiàn)報(bào)警。摔倒檢測使用改進(jìn)的高斯混合模型算法對背景進(jìn)行更新,采用背景減除法來分割運(yùn)動(dòng)目標(biāo)。經(jīng)實(shí)驗(yàn)表明該嵌入式系統(tǒng)可實(shí)現(xiàn)遠(yuǎn)程監(jiān)控并準(zhǔn)確分割出人體目標(biāo),對其姿態(tài)進(jìn)行自動(dòng)判別,出現(xiàn)跌倒時(shí)進(jìn)行報(bào)警。該系統(tǒng)滿足實(shí)時(shí)性要求,誤報(bào)率低,魯棒性好。
[Abstract]:In order to get the fall information of the elderly quickly and get the timely rescue, a fall detection system based on embedded video surveillance is designed and implemented, which does not need any equipment to be worn by the human body. Can automatically detect the elderly fall information and alarm. The video stream monitored by H.264 standard coding compression, using the B / S network structure mode to achieve remote video monitoring. At the same time. Human fall detection is performed on monitored video streams to achieve alarm. Fall detection uses an improved Gao Si hybrid model algorithm to update the background. The background subtraction method is used to segment the moving target. The experiment shows that the embedded system can realize remote monitoring and accurately segment the human body target, and automatically distinguish the posture of the target. The system meets the real-time requirement, the false alarm rate is low and the robustness is good.
【作者單位】: 中國計(jì)量學(xué)院機(jī)電工程學(xué)院;
【分類號(hào)】:TN919.81;TP274
【正文快照】: 當(dāng)前老齡化社會(huì)已經(jīng)到來,研究表明跌倒是老年人常見的傷害事件,是老年人群傷殘、失能和死亡的主要原因。如果能及時(shí)發(fā)現(xiàn)老年人跌倒并進(jìn)行有效的處理,就會(huì)降低跌倒對老人的傷害。據(jù)全國調(diào)查顯示,老年人的跌倒有一半以上是在家中發(fā)生的[1],而現(xiàn)在許多家庭的子女由于多種原因,沒,

本文編號(hào):1386966

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