基于图像识别技术的网吧防盗系统的研究与实现  

The Research and Implement of the Anti-theft System in Net Bar Based on the Image Recognition Technology

作　　者：汪胡青[1] 陈值林[1] 

机构地区：[1]南京邮电大学通信与信息工程学院,南京210003

出　　处：《合肥学院学报（自然科学版）》2011年第3期48-50,共3页Journal of Hefei University :Natural Sciences

摘　　要：针对类似网吧这种娱乐场所盗窃行为经常发生的现象,研究并实现了一防盗系统.系统通过分析网吧盗窃时罪犯动作的共同点,采用了基于阈值分割法的图像处理技术,使用OPENCV工具编程实现;该系统能识别上网者身边潜在的危险以便及时提醒,使盗窃案防患于未然.系统研究过程中通过搭建一模拟的网吧环境验证了此课题应用到实际生活中的的可行性和有效性.The theft behavior occurs frequently in some recreation areas like net bar. For this phenomenor, one set of anti-theft system is studied and realized in this paper. Through analyzing these criminal acts, using image division technology based on the threshold value, with the 0PENCV programming tool, this anti-theft is implemented. This system can distinguish the latent danger in the side of the surfers and remind promptly, which can prevent the theft aceidents before they occur. At last, the feasibility and effectiveness of this system are verfied in a simulated net bar enviroment.

关 键 词：防盗 及时性 阈值分割 图像识别技术 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]