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机构地区:[1]平顶山学院教务处,河南平顶山467000 [2]平顶山学院发展规划研究室,河南平顶山467000
出 处:《科技通报》2015年第6期160-162,共3页Bulletin of Science and Technology
摘 要:通过对军事禁区人员的视觉特征提取提高军事禁区的人员监控和识别能力。提出一种基于嵌入式视觉技术的军事禁区人员监控技术,系统采用4台计算机,3台显示器,虚拟现实设备设计,整个系统的控制是通过连有手控器的计算机来实现军事禁区人员的视觉特征提取,构建视觉特征提取的状态方程和观测方程,对嵌入式视觉特征进行运动属性分析和图像处理,实现人员监控特征分析算法改进。仿真结果表明,该系统能有效实现远距离视频监控和人员特征识别及嵌入式视觉定位,测距误差较低,对军事禁区人员的监控精度提高,对远程监控视频特征的场景恢复性能较好,能有效识别人员的行为和视觉特征,性能优越。To improve the personnel monitoring and recognition ability of the military restricted zones through the visual characteristics of the military restricted zone personnel extraction. Extraction of traditional system design and personnel vi?sual feature algorithm uses video step tracking study method, pixel feature extraction and classification of personnel by SVM lock personnel location information, due to the randomness and uncertainty of the staff, resulting in visual recognition effect is not good. the military restricted zone personnel monitoring technology of the embedded vision is proposed based technology system using 4 computers, 3 monitors, virtual reality equipment design, realization of improved analysis algo?rithms personnel monitoring feature. Simulation results show that the system can effectively realize remote video monitoring and personnel feature recognition and embedded visual positioning, ranging error is low, improve the monitoring accuracy of the military restricted zones of personnel, on the remote video monitoring characteristics of the scene recovery perfor?mance is good, can the behavior and visual features effectively identify people, it has superior performance.
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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