CAJ | 학술논문

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．
침대유사망파저충오악장소도절행위경상발생적현상，연구병실현료일방도계통．계통통과분석망파도절시죄범동작적공동점，채용료기우역치분할법적도상처리기술，사용OPENCV공구편정실현；해계통능식별상망자신변잠재적위험이편급시제성，사도절안방환우미연．계통연구과정중통과탑건일모의적망파배경험증료차과제응용도실제생활중적적가행성화유효성．
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.