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Description: 一个跟踪小球的程序-a small ball tracking procedures
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Size: 3478 |
Author: 吴 |
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Description: 一个跟踪小球的程序-a small ball tracking procedures
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Size: 3072 |
Author: 吴 |
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Description: 集中了kalman,condensation,帧差方法的小球跟踪程序.-concentrated Tracking, condensation, the frame difference of small ball tracking procedures.
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Size: 324608 |
Author: wangxing |
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Description: 用matlab实现kalman滤波器\condensation滤波器跟踪自由落体的小球-Using matlab to achieve condensation filter kalman filter tracking of free-falling ball
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Size: 322560 |
Author: 万琴 |
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Description: Kalman滤波，对下落小球的跟踪，详细的程序说明
-Kalman filtering, on the whereabouts of the ball tracking, a detailed description of the procedures
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Size: 3072 |
Author: zhao xiaowei |
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Description: 卡夫曼算法，目标跟踪，可预测。简单算法，我在后面增加了汉语注释，方便初学者了解。-Target tracking using kalman，using this matlab program, you can see a ball tracked with a lable.
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Size: 694272 |
Author: 白一哲 |
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Description: 用卡尔曼滤波实现小球的跟踪，编程环境为Matlab，完整代码可直接运行-Kalman filter tracking of small ball, the programming environment of Matlab, the complete code can be directly run
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Size: 700416 |
Author: long |
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Description: A new concept of tracking ball has been applied of detecting the ball in one frame by finding centroid ball ,finding histogram of the ball region and correlating it with candidate s histogram (by scanning the complete image) in subsequent frames. Matching of histogram indicates presence of ball ,hence tracks it.
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Size: 2048 |
Author: Vishwanath |
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Description: 机器人足球比赛是一项非常复杂的高技术对抗活动,其中快速准确地识别小球和机器
人小车是决策及控制的基础.在足球机器人视觉跟踪中,颜色信息是最主要的识别分割依据,
由于HSV模型更接近人眼对颜色的感知,在不同光照条件下,色调参数H数值较稳定,比较适
合用做识别处理的基础.因此使用色调H和亮度V作为识别颜色的参数,同时为了提高识别速
度,作了一些改进,并提出一种橙色高尔夫球和机器人小车的快速识别算法.试验快速准确,证
明了该算法的可靠性和有效性
-Robot soccer is a very complex high-tech combat activities, which quickly and accurately identify the small ball and robot car is the basis for decision-making and control. In the Soccer Robot visual tracking, the color information is the most important basis for identification of segmentation , due to HSV model is more close to the human eye' s perception of color in different lighting conditions, color parameters of H values was more stable, more suitable for use as the basis for recognition processing. Therefore, the use of hue H and V brightness of the color used to identify the parameters, and in order increase the recognition speed, made some improvements, and propose a robotic car orange golf and fast recognition algorithm. quick and accurate tests proved the reliability and validity of the algorithm
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Size: 62464 |
Author: zhangjianli |
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Description: 上海广茂达ASRM机器人 红球追踪 程序源码-Shanghai Hiroshige up ASRM robot red ball tracking program source code
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Size: 128000 |
Author: millionzqj |
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Description: In this implementation of tracking a ball, we will track a live ball using Kalman filter. The tracking will switch to autorun mode when the sight of the ball is lost and Kalman will estimate the motion based on it s previous states
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Size: 299008 |
Author: sofi |
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Description: Fast ball tracking with OpenCV library
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Size: 17408 |
Author: nunwithagun |
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Description: A matlab for detecting events in a soccer game video. Used covariance tracking to recognize ball. Used color-based segmentation to recognize players. Based on curvature of the ball trajectories and the position relationship between players, events are identified.
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Size: 60416 |
Author: 陈志立 |
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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
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Size: 698368 |
Author: 当当 |
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Description: tracking of a red ball using matlab
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Size: 1024 |
Author: suneel |
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Description: 利用模糊数学中模糊控制规则的方法实现两个小球的追踪-Two small ball tracking fuzzy mathematics fuzzy control rules
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Size: 1019904 |
Author: again |
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Description: 做自由落体的小球，对其运动轨迹进行跟踪，共60帧小球下坠的图像帧-Falling ball to track its trajectory, a total of 60 balls falling image frame
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Size: 228352 |
Author: zhangran |
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Description: The application uses the approach introduced in paper Covariance Tracking using Model Update Based on Means on Riemannian Manifolds , F.Porikli, O.Tuzel, P.Meer.
The tracking is based on:
1) initializing the target region
2) constructing the Feature Vectors for each pixel in the target region (first frame)
3) forming the Covariance Matrix using feature vectors generated in step 1
4) determining the candidate regions for the following frames and constructing the covariance matrices of these regions
5) finding the minimum covariance-distanced region from these candidate region
6) assign this region as the estimated region
-The application uses the approach introduced in paper Covariance Tracking using Model Update Based on Means on Riemannian Manifolds , F.Porikli, O.Tuzel, P.Meer.
The tracking is based on:
1) initializing the target region
2) constructing the Feature Vectors for each pixel in the target region (first frame)
3) forming the Covariance Matrix using feature vectors generated in step 1
4) determining the candidate regions for the following frames and constructing the covariance matrices of these regions
5) finding the minimum covariance-distanced region from these candidate region
6) assign this region as the estimated region
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Size: 1248256 |
Author: amir2 |
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Description: this program is for ball tracking
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Size: 7168 |
Author: ika |
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Description: Rolling Ball Tracking with Gyroscope.
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Size: 606208 |
Author: TP |
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