基于蚁群算法的监控系统的图像识别技术研究

Research of Image Recognition Techniques Applied to Intelligent Monitoring System Based on Ant Colony Algorithm

介绍智能监控系统中的图像识别技术;利用蚁群算法进行图像分割,提取可疑区域,再运用人工智能中的基于缺省规则推理对可疑区域进行分别处理。运用这项技术对非法入侵对象进行识别,经实验验证实用可靠,满足实时性要求,能将报警信号和可疑区域图像通过网络传送到报警中心。

Image recognition techniques of intelligent monitoring system were introduced, and general image segmentation techniques and rule-based inference were used to recognize intruders. After segmentation and getting the suspected light-area in the image, the rule-based inference for intelligent recognition of the area was used. The results show that this technology is practical, reliable and in real-time. It also can send the alarm signal and the suspected light-area image to the alarm center through networks.