Target detection and recognition in subway monitoring images are key technologies to ensure safe operation of the subway,but the complex and ever-changing subway monitoring environment can pose challenges to target recognition.To accurately identify targets in subway monitoring images,this paper studies a method based on multi feature fusion.By analyzing the characteristics of monitoring scenes,a scheme was proposed to integrate multiple visual features such as color,texture,and shape.An effective feature fusion strategy was designed,and a multi-feature target recognition system based on deep learning was constructed.The results indicate that the collaboration and complementarity of different features not only improve recognition accuracy,but also enhance adaptability to complex environments.
关键词
地铁监控/目标识别/多特征融合/监控安全
Key words
subway monitoring/target identification/multi-feature fusion/monitoring and security
维普
万方数据