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Advanced Polymer Processing International Forum (APPF 2012)

作者： Huang, Yihu Chong, Honglei Li, Zhonghong Zhang, Yinping Hu, Ning Jia, Ximei Qingdao Univ Sci & Technol Coll Automat & Electron Engn Qingdao Peoples R China Sinopec Pipeline Storage & Transportat Co Weifang Weifang Peoples R China Coal Ind Bur Laiwu Gangcheng Dist Laiwu Peoples R China Qingdao Univ Sci & Technol Coll Electromech Engn Qingdao Peoples R China

ISBN: (纸本)9783037857212

Object occlusion often happens in reality life, so it is easy to cause the loss of tracking object. In order to solve this issue, this paper proposes an anti-occlusion algorithm for object tracking. The algorithm bases on camshift algorithm and uses the Bhattacharya coefficient to judge whether the target is occluded. When object occlusion happened, the object position of the next frame will be predicted by using Kalman filtering algorithm. The experimental results show that the new algorithm can achieve accurate tracking of sheltered object. The algorithm is less time-consuming and more robust.

关键词： camshift algorithm Kalman object occlusion

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The Research on Fast and Efficient algorithm in Multi - Cameras-Relay Target Tracking

The Research on Fast and Efficient Algorithm in Multi - Came...

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3rd International Conference on Digital Manufacturing and Automation (ICDMA 2012)

作者： Li Xiaoping Liang Chunhui Chen Si Cui Huijie Xu Jianqiang Xu Qiong Zhao Fengnian Mao Xu Beijing Inst Technol Dept Modern Distance Educ Beijing 100081 Peoples R China Beijing Inst Technol Dept Comp Sci & Technol Beijing 100081 Peoples R China

ISBN: (纸本)9783037854624

In computer vision field, video target tracking has important significance of research. This article proposed a fast and efficient multi-cameras-relay target tracking method directed at crucial technology questions in video target tracking. First, it separated the foreground and background of monitoring scene using of Markov random field theory, and then established the Markov random field model of foreground and background, so as to accomplish the moving object recognition;The next, it located the accurate positioning and tracking utilizing the combination of Kalman filtering and improved camshift algorithm;finally, it made more-cameras-relay target tracking on the basis of coordination and synchronous between cameras, to achieve high efficiency of tracking and strong robustness and monitoring of the wide range of target real-time tracking.

关键词： Multi-cameras-relay Target tracking Markov random field theory Kalman filter camshift algorithm

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Real-Time Vehicle Detection and Tracking System in Street Scenarios

Real-Time Vehicle Detection and Tracking System in Street Sc...

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1st International Conference on Communications and Information Processing (ICCIP 2012)

作者： Jia, Lili Wu, Dazhou Mei, Lin Zhao, Rui Wang, Wenfei Yu, Cai Minist Publ Secur Res Inst 3 R&D Ctr Cyber Phys Syst Shanghai Peoples R China

ISBN: (纸本)9783642319679

The paper represents a framework for a vehicle detection. segmentation, and tracking system. The Challenge is to use a single monocular camera as input, in order to achieve a low cost final system that meets the requirements needed to undertake serial production in auto supervisory industry. We use a hierarchical method from the foreground region level to the vehicle level. The approach concerns stages of motion detection, edge detection, filtering, detection of the vehicles position, and investigation into tracking cars by their appearance visual features. Color, which is one of the strongest cues, is used for the tracking step. The Continuously Adaptive MeanShift algorithm (camshift) is an adaptation of the Mean Shift algorithm, and we use it as a tracking method. Competitive performance results are provided using real video sequences in real traffic conditions.

关键词： Segmentation and Recognition transport information systems edge detection camshift algorithm

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An effective automatic tracking algorithm based on camshift and Kalman filter

An effective automatic tracking algorithm based on Camshift ...

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7th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Image Analysis

作者： Liang, Juan Hou, Jianhua Xiang, Jun Da, Bangyou Chen, Shaobo S Cent Univ Nationalities Dept Elect Informat Engn Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485779

An automatic tracking algorithm based on camshift and Kalman filter is proposed in this paper to deal with the problems in traditional camshift algorithm, such as artificial orientation and increasing possibility of tracking failure under occlusion. The inter-frame difference and canny edge detection are combined to segment perfect moving object region accurately, and the center point of the region is obtained as the initial position of the object. With regard to tracking under occlusion, Kalman filter is used to predict the position and velocity of the target. Specifically, the initial iterative position of camshift algorithm is obtained by Kalman filter in every frame, and then camshift algorithm is utilized to track the target position. Finally, the parameters of adaptive Kalman filter are updated by the optimal position. However, when severe occlusion appears, the optimal position calculated by camshift algorithm is inaccurate, and the Kalman filter fails to estimate the coming state effectively. In this situation, the Kalman filter is updated by the Kalman predictive value instead of the value calculated by the camshift algorithm. The experiment results demonstrate that the proposed algorithm can detect and track the target object accurately and has better robustness to occlusion.

关键词： object tracking camshift algorithm Kalman filter inter-frame difference canny edge detection

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The Research on Fast and Efficient algorithm in Multi-Cameras-Relay Target Tracking

The Research on Fast and Efficient Algorithm in Multi-Camera...

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第三届数字制造与自动化国际会议

作者： Li Xiaoping Liang Chunhui Chen Si Cui Huijie Xu Jianqiang Xu Qiong Zhao Fengnian Mao Xu Department of Modern Distance Education Beijing Institute of Technology Dipartment of Computer Science and Technology Beijing Institute of Technology

关键词： Multi-cameras-relay Target tracking Markov random field theory Kalman filter camshift algorithm

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Robust Camera Calibration and Player Tracking in Broadcast Basketball Video

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IEEE TRANSACTIONS ON MULTIMEDIA 2011年第2期13卷 266-279页

作者： Hu, Min-Chun Chang, Ming-Hsiu Wu, Ja-Ling Chi, Lin Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei 106 Taiwan Natl Taiwan Univ Grad Inst Networking & Multimedia Taipei 106 Taiwan Ta Hwa Inst Technol Phys Educ Ctr Hsinchu 307 Taiwan

With the growth of fandom population, a considerable amount of broadcast sports videos have been recorded, and a lot of research has focused on automatically detecting semantic events in the recorded video to develop an efficient video browsing tool for a general viewer. However, a professional sportsman or coach wonders about high level semantics in a different perspective, such as the offensive or defensive strategy performed by the players. Analyzing tactics is much more challenging in a broadcast basketball video than in other kinds of sports videos due to its complicated scenes and varied camera movements. In this paper, by developing a quadrangle candidate generation algorithm and refining the model fitting score, we ameliorate the court-based camera calibration technique to be applicable to broadcast basketball videos. Player trajectories are extracted from the video by a camshift-based tracking method and mapped to the real-world court coordinates according to the calibrated results. The player position/trajectory information in the court coordinates can be further analyzed for professional-oriented applications such as detecting wide open event, retrieving target video clips based on trajectories, and inferring implicit/explicit tactics. Experimental results show the robustness of the proposed calibration and tracking algorithms, and three practicable applications are introduced to address the applicability of our system.

关键词： Broadcast basketball video camera calibration camshift algorithm highlight extraction player tracking

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2000 fps Real-time Target Tracking Vision System Based on Color Histogram

2000 fps Real-time Target Tracking Vision System Based on Co...

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Conference on Real-Time Image and Video Processing 2011

作者： Ishii, Idaku Tatebe, Tetsuro Gu, Qingyi Takaki, Takeshi Hiroshima Univ Dept Syst Cybernet Hiroshima 7398527 Japan

ISBN: (纸本)9780819484086

In this study, we develop a high-speed color-histogram-based tracking system that can be applied to 512x511 pixel images at 2000 fps using the hardware implementation of an improved camshift algorithm. In the improved algorithm, the size, position, and orientation of an object to be tracked can be extracted using only the hardware implementation of color conversion and the moment feature calculation of 16 binary images quantized by color bins on a high-speed vision platform. We demonstrate its effectiveness by presenting several target tracking results at 2000 fps when color-patterned objects move rapidly under complicated backgrounds.

关键词： High-speed vision camshift algorithm hardware implementation active vision

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Human Multimedia Display Interface Based on Human Activity Recognition

Human Multimedia Display Interface Based on Human Activity R...

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3rd International Conference on Digital Image Processing (ICDIP 2011)

作者： Yiting, Shang Lee, Eung-Joo Tongmyong Univ Div Informat Commun Engn Pusan South Korea

ISBN: (纸本)9780819485830

In this paper, we will propose a Human Multimedia Display Interface. The interface uses the tracking of human hand movements to control the IP-TV. This paper presents an improved camshift algorithm to control an IP-TV system. The camshift algorithm (Continuously Adaptive MeanShift) is a method of using color information[1]. It can do tracking with a specific color of the target. In some typical environmental constraints, it can obtain good tracking performance. However, as the question of noise, large area similar to the color interference and so on, only by CAM-SHIFT algorithm it is not competent. Against these issues we propose an improved camshift algorithm[2].

关键词： IP-TV camshift algorithm

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Building Virtual Entertainment Environment with Tiled Display Wall and Motion Tracking

Building Virtual Entertainment Environment with Tiled Displa...

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第十一届中国虚拟现实大会(ICVRV2011)

作者： Liangjie Zhang Xiaohong Jiang Kaibin Lei College of Computer Science and Technology Zhejiang University Hangzhou China College of Computer Science and Technology Southwest University for Nationalities Chengdu China

Presented in this paper is an immersive and interactive entertainment environment which integrates multi-projector tiled display wall and motion tracking. Calibration methods are proposed for the geometry alignment and color consistency of the tiled display wall, achieving immersive visual experience. To track a player's motion, two markers are clung to the left and right leg, and a robust motion tracking algorithm is designed to obtain the player's moving direction and speed from video streams captured by a web camera. The resulted parameters are finally used to control the avatar in virtual scene on the display wall. The system prototype is featured with low-cost devices, easy and scalable installation, fast calibration and real-time tracking, which provides a natural human-computer interaction environment.

关键词： virtual entertainment tiled display wall motion tracking camshift algorithm edge orientation histogram

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Target tracking system based on multiple characteristics

Target tracking system based on multiple characteristics

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2011 World Congress on Engineering and Technology(CET 2011)

作者： Chenhao,Yang Wenna,Zhang Zhiliang Lina Instrumentation Science and Optoelectronics Engineering Department,Beijing University of Aeronautics and Astronautics Beijing,China

Target tracking application ranges from video monitoring,human-computer interaction,auxiliary medical to robot *** will play an important role in computer vision,but also one of challenging *** are so many methods of target tracking,such as contour appearance,specific spectral lines,color is used as one of the characteristics for *** experiment aimed at improving in camshift algorithm for acquisition of the image by camera,This article introduces a tracking system based on multiple *** the program uses cannny algorithm for edging contour extraction that you are interested in,and then extract the contour of color probability density to sample and form a corresponding color function,target function is to query the experimental process tracking,using face as tracking object,the experimental effect is good.

关键词： Computer vision Target tracking camshift algorithm Face tracking

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