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Description: 目标视频跟踪,采用读取一段动画形式作为视频，然后实时获取目标的中心，并对其进行跟踪-target video tracking, using reading as a form of video animation, and then real-time access to the target center, and its track
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Size: 88248 |
Author: 朱鹏程 |
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Description: 视频目标跟踪。在OpenCV下开发，使用meanshift方法。-video tracking. The OpenCV under development, use meanshift methods.
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Size: 230318 |
Author: 昭君 |
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Description: 视频跟踪算法，包括粒子滤波算法的实现-video tracking algorithm, including the particle filter, and so on the realization
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Size: 501865 |
Author: 薛莲 |
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Description: A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.-A multi-Kalman filtering approach for vid eo tracking of human-delineated objects in clu ttered environments is an latest PH.D. graduati on paper! it give needing to most people.
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Size: 7900653 |
Author: rifer |
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Description: 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进.-the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain algorithm, which can be used for target tracking, multi-target tracking, and video tracking and positioning. solve nonlinear problems of capacity than Kalman filtering, EKF, UKF much better, and I treasure the good stuff, now up with the share could not bear children, she sets the wolf, we hope that support each other and work together to promote.
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Size: 14805 |
Author: zhang |
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Description: video tracking object, can get the contour of the object
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Size: 5595 |
Author: li |
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Description: 自动视频跟踪方面的相关文章，对在此方面从事研究工作的很有使用价值。
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Size: 172323 |
Author: lieutenant |
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Description: 重庆邮电学院 TD-SCDMA移动终端所有算法 3 东南大学 G.711丟帧补偿定点算法 4 南京航空航天大学 数字视频/字符增强算法 5 南京航空航天大学 视频微光降噪音,测向算法 6 合肥工业大学 JPEG 7 西安交通大学 AAC编,解码 8 西安电子科技大学 自动视频跟踪 9 华北工学院 工业CT快速重构算法 10 山东大学 双线极大值匹配法改进算法 11 清华大学(LAB)-Chongqing Institute of Posts and Telecommunications of TD-SCDMA mobile terminals all three algorithms Southeast University G.711 FER compensation fixed-point algorithms four Nanjing University of Aeronautics and Astronautics digital video / character enhancement algorithms 5 Nanjing University of Aeronautics and Astronautics glimmer drop video noise measurement algorithm six Hefei Industrial University JPEG seven West On Jiaotong University AAC encoder and decoder 8 Xi'an University of Electronic Science and automatic video tracking 9 NCUST rapid industrial CT reconstruction algorithm Shandong University lane 10 Maximum Matching Algorithm 11 Tsinghua University (LAB)
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Size: 37059 |
Author: 赵丽辉 |
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Description: This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved.
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Size: 2122036 |
Author: harleych |
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Description: Matching methods such as the Hungarian algorithm have recently made an appearance as an alternative to classical tracking algorithms in computer vision, since they are able to nd the set of tracks that optimizes well-dened criteria over a given video sequence. How- ever, despite being globally optimal, they carry a cost: since they require complete knowledge of the sequence, such methods can- not work with continuous video streams, a crucial requirement of realistic video surveillance applications. We were able to use the recently proposed Dynamic Hungarian Algorithm in an innovative way, adapting it to the well-known sliding window methodology. The algorithm is able to run in real-time, while retaining its opti- mality. We tested our implementation on several datasets, tracking humans and vehicles, and obtained reliable results using the same set of parameters on all sequences.
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Size: 347937 |
Author: kongsuhongbaby@126.com |
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Description: 对于基于网格的视频运动跟踪提出一种全新的运动估计方法-for grid-based Video Motion Tracking A new Motion Estimation
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Size: 129024 |
Author: 李杰 |
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Description: 重庆邮电学院 TD-SCDMA移动终端所有算法 3 东南大学 G.711丟帧补偿定点算法 4 南京航空航天大学 数字视频/字符增强算法 5 南京航空航天大学 视频微光降噪音,测向算法 6 合肥工业大学 JPEG 7 西安交通大学 AAC编,解码 8 西安电子科技大学 自动视频跟踪 9 华北工学院 工业CT快速重构算法 10 山东大学 双线极大值匹配法改进算法 11 清华大学(LAB)-Chongqing Institute of Posts and Telecommunications of TD-SCDMA mobile terminals all three algorithms Southeast University G.711 FER compensation fixed-point algorithms four Nanjing University of Aeronautics and Astronautics digital video/character enhancement algorithms 5 Nanjing University of Aeronautics and Astronautics glimmer drop video noise measurement algorithm six Hefei Industrial University JPEG seven West On Jiaotong University AAC encoder and decoder 8 Xi'an University of Electronic Science and automatic video tracking 9 NCUST rapid industrial CT reconstruction algorithm Shandong University lane 10 Maximum Matching Algorithm 11 Tsinghua University (LAB)
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Size: 36864 |
Author: |
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Description: 如何从静态图片或者视频序列中找出人脸的人脸检测与跟踪源码.-how static pictures or video sequences to identify people for Face detection and tracking source.
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Size: 299008 |
Author: 李光哲 |
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Description: A.MURAT TEKALP 的数字视频处理，涵盖了数字视频处理的各方面，目标检测、目标追踪、视频压缩等-A. MURAT TEKALP digital video processing, digital video covers all aspects of treatment, target detection, target tracking, video compression, etc.
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Size: 9239552 |
Author: 陈媛媛 |
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Description: 视频对象的跟踪提取原代码，能够有效地识别运动的人和物体，边缘准确，不受场景的影响-Video Object Extraction of the tracking code to identify effective movement of people and objects, accurate edge, Scenes from the impact
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Size: 434176 |
Author: 张合 |
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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
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Size: 400384 |
Author: 萧辉 |
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Description: 视频序列中人脸的跟踪和识别_博士论文,具有很大的参考价值.需要先安装CAJViewer 6.0-video sequences of the human face tracking and identification _ doctoral dissertation, have great reference value. need to install the 6.0 CAJViewer
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Size: 3209216 |
Author: 言研 |
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Description: 该函数根据待待配准图象中的特征点位置在基准图象中寻找配准特征点，并将配准的特征点位置返回。在配准的过程中，采取的是块配准的方法进行配准-according to the functions assigned to the prospective image of the location of the benchmark for image registration feature, Registration will feature the return position. In the registration process, the registration block is the method for registration
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Size: 4096 |
Author: 文永富 |
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Description: 美国博士论文，关于视频对象分割和用snack算法的跟踪。-American doctoral thesis on the video object segmentation and the use of the tracking algorithm snack.
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Size: 4397056 |
Author: 左伟 |
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Description: 追踪视频中的矩形块 并标记出来 输出位移时间图像(Tracking the rectangular blocks in the video and marking out the displacement time images)
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Size: 1024 |
Author: 婧婧~
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