Developing a system of multiple cameras human detection and tracking based on PC.
基于PC机终端开发了一个多摄像机人体自动检测与跟踪系统。
Author is engaged in designing the video surveillance system of human detection based on DSP.
本文主要研究基于DSP的视频人体侦测系统的算法与软件实现。
Based on above algorithms, a real-time moving human detection and tracking system is implemented.
并在以上算法基础上，实现了一个实时的运动人体检测与跟踪系统。
Experimental results show that the improved human detection algorithm has good real-time performance.
实验结果表明，改进后的人体检测算法具有较好的实时性能。
The set of edge pixels detected by this algorithm is a useful cue for object's boundary, so it can be taken as an important feature for the human detection system.
该算法检测到的边缘可以反映物体的轮廓信息，因此可以通过边缘组织高效地检测图像中的人体目标。
This method is suitable for human detection systems of intelligent detection and identification based on PIR sensors.
该检测方法适用于基于PIR传感的人体移动的智能检测和识别系统。
It involves man-machine communication module, human detection module, JPEG image compress module and file management module.
系统包括四个模块：人体识别模块、图像压缩模块、文件管理模块、以及人机接口模块。
However, the inherent characteristics of infrared images, such as low signal-to-noise ratio and unitary information, have made it a complex challenge for human detection and tracking.
但是，红外图像信噪比低、信息单一等因素的制约，使红外图像中的人体检测跟踪成为了一个极具挑战性的课题。
To improve the sense of immersion and training effects of human detection input device for the virtual training software, the system of human motion detection based on DSP and MEMS was designed.
为解决现有虚拟训练软件的人体动作输入设备沉浸感和训练效果不足的问题，采用DSP和微机电系统(MEMS)构建人体动作识别系统。
To improve the sense of immersion and training effects of human detection input device for the virtual training software, the system of human motion detection based on DSP and MEMS was designed.
为解决现有虚拟训练软件的人体动作输入设备沉浸感和训练效果不足的问题，采用DSP和微机电系统(MEMS)构建人体动作识别系统。
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