首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 593 毫秒
1.
A method was presented to implement the detecting and tracking of moving targets through omnidirectional vision. The method combined optical flow with particle filter arithmetic, in which optical flow field was used to detect and locate moving targets and particle filter was used to track the detected moving objects. According to the circular image character of omnidirectional vision, the calculation equation of optical flow field and the tracking arithmetic of particle filter were improved based on the polar coordinates at the omnidirectional center. The edge of a randomly moving object could be detected by optical flow field and was surrounded by a reference region in the particle filter. A dynamic motion model was established to predict particle state. Histograms were used as the features in the reference region and candidate regions. The mutual information (MI) and Gaussian function were combined to calculate particle weights. Finally, the state of tracked object was computed by the total particle states with weights. Experiment results show that the proposed method could detect and track moving objects with better real-time performance and accuracy. Supported by Tianjin Higher Education Technology Development Foundation (No.20071308), Tianjin Natural Science Foundation (06YFJMJC03600) and National Natural Science Foundation of China (No.60773073). YANG Shuying, born in 1964, female, Dr, Prof.  相似文献   

2.
针对复杂环境下的多目标跟踪问题提出了一种新的跟踪方法.在检测部分,采用第三级离散小波变换和背景差分进行了目标分割.在跟踪部分,首先利用卡尔曼滤波器和缩放因子估计目标在下一帧中的中心位置和矩形框尺寸,然后在中心关联和区域关联的基础上提出了投射率和遮挡率的概念,并结合投射率和遮挡率推断目标行为.最后针对具体目标行为,自适应地调整跟踪方案和卡尔曼参数实现了多目标跟踪.在遮挡情况下利用部分观测调整估计框以获得目标测量值和最优框尺寸.提出的方法对处于遮挡、新出现以及稳定等情况下的运动目标均具有鲁棒的跟踪性能.实验结果表明提出的方法是有效的.  相似文献   

3.
This paper presents a new approach to the extraction of a moving object from video sequence.The method is based on morphological motion filter using connected operator and a propsed new filtering criterion.The morphological motion filter aims to detect motion which is distinct from that of the background,and thereby locates independently moving physical objects in the secnes.Experiments show that the algorithm can extract object from moving backgrounds efficiently.  相似文献   

4.
Effective and robust recognition and tracking of objects are the key problems in visual surveillance systems. Most existing object recognition methods were designed with particular objects in mind. This study presents a general moving objects recognition method using global features of targets. Targets are extracted with an adaptive Gaussian mixture model and their silhouette images are captured and unified. A new objects silhouette database is built to provide abundant samples to train the subspace feature. This database is more convincing than the previous ones. A more effective dimension reduction method based on graph embedding is used to obtain the projection eigenvector. In our experiments, we show the effective performance of our method in addressing the moving objects recognition problem and its superiority compared with the previous methods.  相似文献   

5.
介绍了一种简单、快速的实时交通图像序列中多目标的跟踪算法,在使用自适应背景差分法分割出运动目标候选区域的基础上,通过形态学操作和降低分辨率的方法,得到连通的目标区域,再使用轨迹关联法实现对多目标的跟踪.实验结果表明该算法较好地解决了跟踪的连续性、实时性、精确度的矛盾,同时满足智能交通监控系统的要求.  相似文献   

6.
Infants' oculomotor tracking develops rapidly but is poorer when there are horizontal and vertical movement components. Additionally, persistence of objects moving through occlusion emerges at 4 months but initially is absent for objects moving obliquely. In two experiments, we recorded eye movements of thirty-two 4-month-old and thirty-two 6-month-old infants (mainly Caucasian-White) tracking horizontal, vertical, and oblique trajectories. Infants tracked oblique trajectories less accurately, but 6-month olds tracked more accurately such that they tracked oblique trajectories as accurately as 4-month olds tracked horizontal and vertical trajectories. Similar results emerged when the object was temporarily occluded. Thus, 4-month olds’ tracking of oblique trajectories may be insufficient to support object persistence, whereas 6-month olds may track sufficiently accurately to perceive object persistence for all trajectory orientations.  相似文献   

7.
运动目标的参数估计是近代计算机视觉领域重要的研究课题.以运动车辆的序列图像为例来分析.考虑到跟踪运动车辆对实时性要求较高的特性,没有采用经典的最小二乘滤波和维纳滤波等,而采用了卡尔曼滤波方法,由于卡尔曼滤波在时域内进行,因此不需要保存更多的数据,使得跟踪结果实时输出。  相似文献   

8.
INTRODUCTIONObjecttrackingisachallengingandimpor tanttaskincomputervision .Someofthemorepopularapplicationsincludevideosurveillanceinstrument,roboticcontrol,andautonomousve hicularnavigation .Trackingalgorithmsfindhowanimageregionmovesfromoneframetothenext.Thisimpliestheexistenceofanerrorfunc tiontobeminimized ,suchasthesumofsquareddifferences (SSD)betweenthetwoimagere gions.Thiserrorfunctionistheresultofmakingthe“constantbrightnessassumption” .Yet,quiteoftenweareinterestedintrackinga…  相似文献   

9.
在面部特征点的跟踪领域光流算法使用较为广泛。文章使用了Lucas Kanade 光流算法对面部特征点进行跟踪,实验表明,该算法在面部特征点跟踪中可得到较好的跟踪效果。  相似文献   

10.
在复杂地物类型背景条件下,多目标跟踪算法通常表现出目标识别与跟踪能力较差问题,特别在被其它地物遮挡后目标跟踪丢失更严重。提出一种改进的基于多源特征提取与特征融合的多目标跟踪算法。为提高目标在复杂背景下的空间分辨力,充分利用对异类物体判别能力较强的高层特征和针对同类不同物体判别能力较强的浅层特征,提高复杂背景下地物目标的识别能力。同时,为了解决物体被遮挡后导致跟踪算法丢失目标问题,利用滤波器获得追踪目标的空间尺度大小,提高跟踪算法的准确性与可靠性。实验表明,多目标跟踪算法识别目标的准确性可达87.5%,误差在[±2.31%]左右,具有良好的尺度估计效果。  相似文献   

11.
This novel method of Pedestrian Tracking using Support Vector (PTSV) proposed for a video surveillance instrument combines the Support Vector Machine (SVM) classifier into an optic-flow based tracker. The traditional method using optical flow tracks objects by minimizing an intensity difference function between successive frames, while PTSV tracks objects by maximizing the SVM classification score. As the SVM classifier for object and non-object is pre-trained, there is need only to classify an image block as object or non-object without having to compare the pixel region of the tracked object in the previous frame. To account for large motions between successive frames we build pyramids from the support vectors and use a coarse-to-fine scan in the classification stage. To accelerate the training of SVM, a Sequential Minimal Optimization Method (SMO) is adopted. The results of using a kernel-PTSV for pedestrian tracking from real time video are shown at the end. Comparative experimental results showed that PTSV improves the reliability of tracking compared to that of traditional tracking method using optical flow.  相似文献   

12.
13.
改进粒子滤波在被动目标跟踪中的应用   总被引:3,自引:0,他引:3  
As a new method for dealing with any nonlinear or non-Ganssian distributions, based on the Monte Carlo methods and Bayesian filtering, particle filters (PF) are favored by researchers and widely applied in many fields. Based on particle filtering, an improved extended Kalman filter (EKF) proposal distribution is presented. Evaluation of the weights is simplified and other improved techniques including the residual resampling step and Markov Chain Monte Carlo method are introduced for target tracking. Performances of the EKF, basic PF and the improved PF are compared in target tracking examples. The simulation results confirm that the improved particle filter outperforms the others.  相似文献   

14.
We propose an algorithm of embedding ensemble tracking in a stochastic framework to achieve robust tracking performance under partial occlusion, illumination changes, and abrupt motion. It operates on likelihood images generated by the ensemble method, and combines mean shift and particle filtering in a principled way, where a better proposal distribution is designed by first propagating particles via a motion model, and then running mean shift to move towards their local peaks in the likelihood image. An observation model in the particle filter incorporates global and local information within a region, and an adaptive motion model is adopted to depict the evolution of the object state. The algorithm needs fewer particles to manage the tracking task compared with the general particle filter, and recaptures the object quickly after occlusion occurs. Experiments on two image sequences demonstrate the effectiveness and robustness of the proposed algorithm.  相似文献   

15.
多目标跟踪的概率假设密度滤波   总被引:1,自引:0,他引:1  
在多目标跟踪技术中,当目标数未知或随时间变化时,可将目标集看作随机集.阐述了随机集的有限集统计(FISST)理论,研究了用PHD滤波实现跟踪随机集的方法.实验表明,在杂波环境下,概率假设密度滤波可以稳健地跟踪目标状态和目标数.  相似文献   

16.
针对均值偏移算法在跟踪目标发生形变和遮挡时丢失问题,提出了一种自适应目标检测、核函数带宽可变、Kalman滤波预测和重心轨迹跟踪的改进均值偏移算法(KPKM)。该算法利用目标检测中得到的外接矩形和重心作为均值偏移算法的初值,用改进的Kalman滤波器预测目标运动趋势,使本算法能沿着梯度方向快速收敛到目标中心。实验和仿真结果表明,该方法实现了在复杂场景下,对运动目标的精确检测和准确跟踪。  相似文献   

17.
本文采用了一种运动目标存在情况下的背景重建算法,能较好地抑制外界环境变化带来的影响。该运动目标检测算法通过一定数量帧的学习、统计,找到各坐标点像素灰度等级的分割阈值。在对当前帧图像进行背景差分后,分割出运动目标区域。若存在运动目标,则根据串行边界跟踪算法获得运动目标轮廓。获得边界后,模型将绘制方框显示运动物体,并发出警报。该运动目标检测模型用VisualC++给予实现。  相似文献   

18.
The onset of motion was used to study stimulus-driven visual attention in 14-week-olds. The movement of an object did not capture attention reflexively at 14 weeks of age. The attention-getting properties of a moving stimulus depended significantly on its color in combination with the colors of other objects in the visual field. Specifically, detection of a green moving target was masked in the presence of mixed red and green static objects. No such masking was observed when the moving target was red or when the green target moved in a visual field that was populated only with green objects. The same effect was observed to a lesser extent when the green bars were replaced with gray bars. The number of distractors in the visual field exerted an effect on the accuracy of detection only when their appearance in the visual field was coincident with the onset of target motion. Attention to motion at this age is not independent of the structure of the visual field; chromatic preferences play a role in how readily infants attend to a moving object. These effects may be mediated by a difficulty in disengaging attention (from distractors) or in suppressing attention to competing objects once attention is engaged on a target.  相似文献   

19.
在刀具轮廓检测仪的设计中,完成了用微机显示器直接动态跟踪显示物体轮廓图像的方法.给出了实现该方法的硬件、软件原理,同时对轮廓点的提取、空间位置的标定以及动态图像的稳定技术进行了论述.该方法为传统的视觉测量系统设计提供了新的思路,简化了刀具检测仪的机械结构设计,方便了系统软件的编制,实现了测量与显示同时进行,为仪器的实用性奠定了基础.  相似文献   

20.
提出了一种从MPEG-2压缩数据流中提取高速公路车流量的方法.白天根据车辆运动的特点,利用宏块的运动矢量检测车辆,并给出了运动矢量噪声的滤除算法.夜间根据车灯的亮度高于背景区域的特点,利用图像块的DCT系数检测车辆的车灯,并介绍了P帧图像块的DCT系数的计算方法.为了防止道路外物体的移动以及镜头的移动对检测造成的影响,给出了车道定位的方法以及镜头移动检测的算法.采用此方法,白天的检测准确率可达97.4%,夜间的检测准确率可达95.4%.实验表明本检测方法是有效的.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号