搜索资源列表
435234paper
- 从边检测边跟踪的角度探讨了图象序列中机动目标的形心跟踪问题,深入分析了强高斯噪声背景下目标形心估计的统计性质及用于形心估计的图象预处理方法。-Explored from the perspective of the side edge-detection tracking the centroid tracking of maneuvering targets in the image sequence, in-depth analysis of the statistical properti
MotionDetecte
- 目标的检测和跟踪，利用opencv对目标进行简单的检测之后进行跟踪，初学者-Target detection and tracking using opencv simple detection target tracking beginners
test2
- 检测区域红色方框像素并提取中心点，并可以动态跟踪目标达到大约15帧秒的处理速度。-The red square pixel of the detection area and extract the center point, and can dynamically track the target to achieve the processing speed of about 15 seconds.
1
- 本文主要研究低对比度下的飞行目标跟踪算法，其过程包括目标搜索检测阶段和目标跟踪阶段两大部分，并给出了具体的实现算法。-This paper studies low contrast the flight target tracking algorithm, the process includes the detection phase of target search and target tracking phase two parts, and gives a concrete reali
2
- 本文主要研究运动背景下的运动目标的检测与跟踪，并给出了相应的实现算法。实验结果表明，提出的算法可以较好地自动识别和跟踪目标。-This paper studies the movement context detection and tracking of moving targets, and gives the realization algorithm. Experimental results show that the proposed algorithm can automatica
GMM_OpenCV
- 用opencv编写的GMM，用于进行前景检测，人物探测，目标跟踪-Gaussian Mixture Model for human tracking
1234
- 低信噪比下红外弱小目标的检测与跟踪，采用的是基于粒子滤波检测前跟踪算法。-Low SNR infrared small target detection and tracking using front tracking algorithm based on particle filter detection.
long-term-tracking
- 这是一种新的单目标长时间（long term tracking） 跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的显著特征点和检测模块的目标模型及相关参数，从而使得跟踪效果更加稳定、鲁棒、可靠。-This is a new single target for a long time (long term tracking) tracking algorit
opencv-based-intrusion-detection
- 这是一个基于opencv入侵检测，跟踪目标，显示每帧入侵物的数量，并发出报警-This is a opencv-based intrusion detection, target tracking, display each frame invaders number, and alarm
particle
- OpenCV2.4.4+Visual Studio2008环境下基于particleflitter的运动目标跟踪源代码，内含检测sample。-Source code about moving object detection based on particle flitter,built with OpenCV2.4.4&Visual Studio2008 environment.
FixedCamShift
- 改进后的Camshift算法（连续自适应的MeanShift算法），是将OpenCV中的Camshift背景检测和前景检测以及运动目标跟踪过程经过修改之后的代码。-FixedCamshift algorithm (the continuous adaptive MeanShift algorithm), is the Camshift background OpenCV detection and prospects for detection and moving target trackin
CVMFC
- OpenCV图像处理的程序，包含图像的平滑滤波高斯变换和视频采集人脸检测目标跟踪等功能，是个较完整的MFC程序-OpenCV image processing procedures, containing an image the smoothing filter Gaussian transform and video capture face detection, target tracking, etc., is a more complete MFC program
detecting-and-tracking
- 视频序列中二维运动目标的检测与跟踪算法演示-Video sequences dimensional moving target detection and tracking algorithm demo
Motion-Detection-in-Video-
- 在VS2008环境下实现视频序列中，运动目标的检测和跟踪，包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.
matlab-code
- 一个多目标跟踪的matlab代码,里面附有说明文档.其中背景差分法可以实现实时更新.该代码在检测与跟踪少量目标时效果很好,但是跟踪目标大于8后,效果下降很多-matlab
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪-Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking
Target-trace
- 利用Opencv对运动目标（包括汽车，行人）的AVI视频进行检测并跟踪。效果十分显著。 - detect and tracking the moving targets (including cars, pedestrians) AVI video detection and tracking. Effect is very significant.
CVMFC
- 该程序主要是进行MFC框架编写以及图像的读入显示，图像的平滑滤波高斯变换和视频检测目标跟踪等功能-The program is primarily for MFC framework of the preparation and the reading of the image display, image smoothing Gaussian transform and video detection target tracking and other functions
target-tracking-based-on-SVM
- 将基于统计学习理论中的支持向量机(SVM)应用到目标跟踪领域中"该算法不仅能够自动检测和跟踪视场或图像中预先设定好的目标,而且克服了传统目标跟踪系统的缺陷.-Will be based on statistical learning theory, support vector machine (SVM) is applied to the target tracking in "The algorithm can automatically detect and track field of
background-model8
- ：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-M