搜索资源列表
SIFT
- sift algorithm for detection of object even in different orientations
arduino_Object-Detection
- 基于arduino单片机实现的利用三个超声波传感器实现的走迷宫的程序。需要arduino自己的开发环境！-Object Detection base on the arduino singlechip and ultrasonic transducer
Movement-target-detection
- 通过VC++和opencv轮廓实现视频流的运动目标检测-Through the outline of the moving object detection realize streaming video
Dr.Dhyaa-Background-Subtraction-for-Detection-and
- dissertation about moving object detection and tracking
moving-object-detection
- 从视频中精确地检测到运动目标，程序简单移动。-a good method that can detect the moving object.
Moving-target-detection
- 在visualc++平台和已经安装有opencv的PC机上运行。实现固定背景下运动目标检测的功能。-Run in visualc platform and has been installed opencv it on a PC. Fixed the context of moving object detection function.
target-detection-algorithm-
- 为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点，提出1 种基于决策树的多特征检测算法，并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息，通过计算各特征的信息增益建立决策树，将搜救目标检测问题分解成3 层决策树分类问题. 实验表明，该算法能够提高多特征目标检测的效率，在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition m
motion-object-detection
- 可以载入一段视频或者通过摄像头实时检测运动物体，利用去掉静止背景的方法得到运动的物体，代码已通过验证。-Can load a video camera or through real-time detection of moving objects, the use of get rid of static method of background get moving objects, the code already through the verification.
object-detection
- 关于目标检测的硕士论文，采用了三帧差分的方法来获取运动目标，然后采用CAM_shift的方法对运动目标进行跟踪。-Master' s thesis on target detection the three differential method to obtain the moving target, and then using CAM_shift methods to track the moving target.
Object-Detection
- 具有实时检测、跟踪和分析判断的智能化监控系统是智能化监控系统发展的必然趋势，本文提出一种在实时监控下检测和跟踪运动目标的方法，首先使用背景差分法检测出运动目标，并定期使用背景更新策略对参考背景进行局部更新，这样可以提高目标检测的精确度。目标跟踪时在不同的尺度空间获得目标的关键点，增强算法目标在遮挡情况下的鲁棒性， 接下来使用mean shift 算法估计目标在下一帧的位置。-Intelligent monitoring system with real-time detection, track
An-Adaptive-Neural-Fuzzy-Approach-for-Object-Dete
- Adaptive Neural-Fuzzy Approach for Object Detection
motion-detection-.pdf
- 运动目标检测方法研究可以用于运动目标检测-Moving target detection method research can be used for moving object detection
Multiple-object-Detection
- 作者提的源代码 附paper 多目标检测 用来行人检测 亲自调试可用！-detection of multiple object instances using Hough transform(CVPR 10), 2010.
foreground-object-detection
- 复杂背景下的前景检测，这篇文章被引用的比较多，值得学习-foreground detection from video in complex background
moving-object-detection
- opencv 运动目标检测，工具是vc6.0-opencv moving target detection tool is vc6.0
Analysis-on-Moving-Object
- 计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人 工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通 等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类, 研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉 跟踪算法的未来研究方向。-One of the computer vision
moving-object-detection-and-tracking
- 多摄像机视频监控中运动目标检测与跟踪,提出在多个摄像头下对目标检测与跟踪的算法-Multi-Camera Video Surveillance moving target detection and tracking is presented in multiple cameras under target detection and tracking algorithms
Face-Detection-and-Tracking---MATLAB-a-Simulink-E
- Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety, and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking probl
Moving-Object-Detection-and-Tracking
- 研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
License-plate-detection
- 车牌定位的有效方法 ，使用多源信息融合达到对信息的定位方法-Adaboost detector has been successfully used in object detection. In this paper, we propose a new License Plate (LP) detection technique based on multistage information fusion, which is adopted to reduce high false a