Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy
This paper proposes a new real-time target tracking method based on the open-loop monocular vision motion control. It uses the particle filter technique to predict the moving target’s position in an image. Due to the properties of the particle filter, the method can effectively master the motion beh...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/690576 |
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| _version_ | 1832566814702305280 |
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| author | Cao Yuan Ma Lianchuan Weigang Ma |
| author_facet | Cao Yuan Ma Lianchuan Weigang Ma |
| author_sort | Cao Yuan |
| collection | DOAJ |
| description | This paper proposes a new real-time target tracking method based on the open-loop monocular vision motion control. It uses the particle filter technique to predict the moving target’s position in an image. Due to the properties of the particle filter, the method can effectively master the motion behaviors of the linear and nonlinear. In addition, the method uses the simple mathematical operation to transfer the image information in the mobile target to its real coordinate information. Therefore, it requires few operating resources. Moreover, the method adopts the monocular vision approach, which is a single camera, to achieve its objective by using few hardware resources. Firstly, the method evaluates the next time’s position and size of the target in an image. Later, the real position of the objective corresponding to the obtained information is predicted. At last, the mobile robot should be controlled in the center of the camera’s vision. The paper conducts the tracking test to the L-type and the S-type and compares with the Kalman filtering method. The experimental results show that the method achieves a better tracking effect in the L-shape experiment, and its effect is superior to the Kalman filter technique in the L-type or S-type tracking experiment. |
| format | Article |
| id | doaj-art-512f510bee214c519974ca854dece3ea |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-512f510bee214c519974ca854dece3ea2025-02-03T01:03:03ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/690576690576Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control StrategyCao Yuan0Ma Lianchuan1Weigang Ma2National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing 100044, ChinaNational Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing 100044, ChinaFaculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, ChinaThis paper proposes a new real-time target tracking method based on the open-loop monocular vision motion control. It uses the particle filter technique to predict the moving target’s position in an image. Due to the properties of the particle filter, the method can effectively master the motion behaviors of the linear and nonlinear. In addition, the method uses the simple mathematical operation to transfer the image information in the mobile target to its real coordinate information. Therefore, it requires few operating resources. Moreover, the method adopts the monocular vision approach, which is a single camera, to achieve its objective by using few hardware resources. Firstly, the method evaluates the next time’s position and size of the target in an image. Later, the real position of the objective corresponding to the obtained information is predicted. At last, the mobile robot should be controlled in the center of the camera’s vision. The paper conducts the tracking test to the L-type and the S-type and compares with the Kalman filtering method. The experimental results show that the method achieves a better tracking effect in the L-shape experiment, and its effect is superior to the Kalman filter technique in the L-type or S-type tracking experiment.http://dx.doi.org/10.1155/2015/690576 |
| spellingShingle | Cao Yuan Ma Lianchuan Weigang Ma Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy Discrete Dynamics in Nature and Society |
| title | Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy |
| title_full | Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy |
| title_fullStr | Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy |
| title_full_unstemmed | Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy |
| title_short | Mobile Target Tracking Based on Hybrid Open-Loop Monocular Vision Motion Control Strategy |
| title_sort | mobile target tracking based on hybrid open loop monocular vision motion control strategy |
| url | http://dx.doi.org/10.1155/2015/690576 |
| work_keys_str_mv | AT caoyuan mobiletargettrackingbasedonhybridopenloopmonocularvisionmotioncontrolstrategy AT malianchuan mobiletargettrackingbasedonhybridopenloopmonocularvisionmotioncontrolstrategy AT weigangma mobiletargettrackingbasedonhybridopenloopmonocularvisionmotioncontrolstrategy |