Description: 静动态视频算法This Project basically related to Object Tracking and Real Time Video Enhancement. We Mr Sheeraz and Mr Imran Malik done this project as a Final Project of BS(cs) Degree
This Project is divided in to four main Modules
-static and dynamic video algorithm This basically related to the Project Object Tracking and Real Time Video Enhancemen t. We Mr Sheeraz and Mr. Imran Malik done this proj ect as a Final Project of BS (cs) Degree This Proj ect is divided in to four main Modules Platform: |
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Author:萧辉 |
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Description: Real-Time Object Tracker in C++. tracking moving or static objects with conventional web cam at far bigger than real-time speed.-Real-Time Object Tracker in C++. Tracking moving or static objects with conventional web cam at far bigger than real-time speed. Platform: |
Size: 106496 |
Author:阿斗 |
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Description: 本文介绍的是基于粒子滤波和均值偏移算法的目标跟踪.结合创新的算法克服了两种算法各自的缺陷,鲁棒性和实时性得到了很大的提高.
-This article is based on the introduction of the particle filter and mean shift tracking algorithm. Combination of innovative algorithms to overcome the shortcomings of their respective two algorithms, robustness and real-time has been greatly improved. Platform: |
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Author:阳关 |
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Description: In this paper we describe a control methodology for
catching a fast moving object with a robot manipulator,
where visual information is employed to track the
trajectory of the target. Sensing, planning and control
are performed in real-time to cope with possible
unpredictable trajectory changes of the moving target,
and prediction techniques are adopted to compensate the
time delays introduced by visual processing and by the
robot controller. A simple but reliable model of the
robot controller has been taken into account in the
control architecture for improving the performance of the
system. Experimental results have shown that the robot
system is capable of tracking and catching an object
moving on a plane at velocities of up to 700 mm/s and
accelerations of up to 1500 mm/s2. Platform: |
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Author:xjwu |
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Description: This program is about tracking moving or static objects with a conventional web cam at real-time speed. Platform: |
Size: 194560 |
Author:钟 |
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Description: 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in different frames, and used feature monitoring to deal with object occlusion, object split and implement real-time update for objects features. Objects were matched based on the similarity voting of their features in successive frames. Experimental study had been carried out using image sequences captured in real scene. The experimental results show that the method is robust against noise, shadows, occlusion, and split and it performs multiple objects tracking finely. Platform: |
Size: 1024 |
Author:崔瑞芳 |
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Description: The paper describes a new robust real time algorithm for 3D object tracking in a video sequences. Platform: |
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Author:roboter |
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Description: "REAL TIME MULTI OBJECT TRACKING WITH FEW PARTICLES"
This is a paper about tracking by particle filter.
This is very useful. Platform: |
Size: 1412096 |
Author:Wolf |
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Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.). Platform: |
Size: 1197056 |
Author:vikas |
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Description: 无线传感器网络是一种全新的信息获取平台，能够实时监测和采集网络分布区域内的各种检测对象的信息，并将这些信息发送到网关节点，以实现复杂的指定范围内目标检测与跟踪，具有快速展开、抗毁性强等特点，有着广阔的应用前景-Wireless sensor networks is a new information access platform, real-time monitoring of distribution and collection networks within the region of various test object information, and information sent to the gateway node, in order to achieve the specified range of complex target detection and tracking, with rapid deployment, survivability and strong features, have broad application prospects Platform: |
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Author:fanlianxiang |
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Description: 实现了实时的运动物体跟踪，方法简单，实用性强。对做跟踪的有很大的帮助-Achieve real-time moving object tracking method is simple and practical. On track to do great help! ! ! ! Platform: |
Size: 1044480 |
Author:卢绪军 |
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Description: 运动目标的检测跟踪在机器人视觉,监控测量和视频压缩编码等等方面有着广泛的应用，是近年来的一个研究热点。本文设计了一个基于OpenCV软件的运动目标检测跟踪实验平台，对摄像头视野中的运动目标进行实时检测和跟踪，并留下编程和硬件接口，为利用运动目标跟踪而进行机器人视觉和基于计算机视觉的测量监控研究打下基础。-Moving target detection and tracking in robot vision, monitoring measurements and video compression coding, etc., has been widely used, is a hot research topic in recent years. This paper designs a OpenCV software-based moving target tracking experiment platform, the camera view in real-time moving object detection and tracking, and leave programming and hardware interfaces for the use of moving target tracking and the robot vision and computer-based visual monitoring of the measurement basis. Platform: |
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Author:abc |
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Description: 本例是一个简单的运动目标跟踪程序，对一个小球进行了实时的跟踪-This example is a simple object tracking program, for a small real-time tracking of ball Platform: |
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Author:当当 |
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Description: 该代码用于实现视觉目标跟踪研究中的协方差跟踪，能够把多种时空特征融合于统一的模型中，在实现视觉目标跟踪时具有较好的鲁棒性，而且其维数等于使用特征的数量，与各个特征的维数无关，因此，其计算复杂度较小，实时性较好。-This code is used to realize covariance tracking in the research field of visual object tracking of computer vision. It enables fusion of various spatial-temporal features into an unified object feature model, hence robust to noise. In addition, its dimension is equal to the number of the features used and independent of the dimensions of the features used. Therefore, it satisfies the requirement of real-time application due to its low computation cost. Platform: |
Size: 133120 |
Author:朱亮亮 |
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Description: This paperpresent a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This precludes the use of tools typically used in
surveillance (e.g., object tracking). Hence, our algorithm
is based on simple image features. This paperdefine usual scenes
based on the concept of meaningful nearest neighbours instead
of building explicit models. To effectively compare
the observations, our algorithm adapts the data representation.
Furthermore, This paperuse incremental learning techniques
to adapt to changes in the data-stream. Experiments on several
months of webcam data show that our approach detects
plausible unusual scenes, which have not been observed in
the data-stream before. Platform: |
Size: 9020416 |
Author:shpark |
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Search - real time object tracking