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MovingObjectDetectionVideoSurveillanceanditsApplic
- 无需摄像机标定的摄像机运动跟踪算法 Moving Object Detection Video Surveillance and its Applicationinand Monitoring-Without camera calibration of the camera motion tracking algorithm for Moving Object Detection Video Surveillance and its Applicationinand Monitoring
COM_imm
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
CS
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
EKF
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
trainingdynamicmatrixofparticlefilter
- 粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Micha
ANN-in-maneuvering-target-tracking
- 在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越
HS_Method
- Using HS method to preform Motion Tracking. The image is captured from any camera.-Motion Tracking
tracker.code
- run tracker code that it can use for motion tracking
human
- 人运动的视觉分析系统一般遵从下述的处理过程：1)运动检测；2)运动目标分类；3)人的跟踪；4)行为理解与描述-Visual human motion analysis system for the processing of general compliance with the following: 1) motion detection 2) moving target classification 3) human tracking 4) understand and describ
JPDA
- 在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 -Superimposed noise in the posit
IMM-Kalman-filter--simulation
- 结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
GZ
- 用于基于视频运动目标的跟踪，该算法融合了颜色直方图和梯度方向直方图的特征,能够更加精确地表征目标,较大地提高了视频目标跟踪的准确度和鲁棒性。-For video motion-based target tracking, the algorithm combines the color histogram and gradient direction histogram feature, to more accurately characterize the target, greatly im
movement_trace
- 这是一个运动跟踪系统，模拟了月球与地球之间相对移动的关系-This is a motion tracking system to simulate the relative movement between the Earth' s moon and the relationship
motionTrackingTutorial
- motion tracking for videos . this tracks objects in a video using c++ open CV
Target-Tracking-PADF2
- 仅供参考，目标跟踪算法，基于PDAF，直线运动单目标PDAF跟踪模拟-For reference only, target tracking algorithm based on PDAF, linear motion of single target tracking simulation PDAF
Target-Tracking-PADF3
- 仅供参考，采用数据关联算法实现单个匀速运动目标的点迹与航迹的关联；PDAF方法第三种实现；-For reference only, using a single data association algorithm uniform motion targets associated trace and track the point PDAF third method to achieve
object-tracking
- Motion based multiple object tracking. Tracks multiple objects in a video. used in survelliance.
main.cpp.tar
- human-tracking : Human motion tracking graduation design code, the use of some of the opencv function
motion_src
- motion tracking using opencv pyhton
multi KCF
- KCF运动跟踪，C\C++环境，opencv(KCF motion tracking,c++,c,opencv)