Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model
Moving object detection in video streams is the first step of many computer vision applications. Background modeling and subtraction for moving detection is the most common technique for detecting, while how to detect moving objects correctly is still a challenge. Some methods initialize the backgro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2017/5179013 |
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| _version_ | 1832558281808150528 |
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| author | Yizhong Yang Qiang Zhang Pengfei Wang Xionglou Hu Nengju Wu |
| author_facet | Yizhong Yang Qiang Zhang Pengfei Wang Xionglou Hu Nengju Wu |
| author_sort | Yizhong Yang |
| collection | DOAJ |
| description | Moving object detection in video streams is the first step of many computer vision applications. Background modeling and subtraction for moving detection is the most common technique for detecting, while how to detect moving objects correctly is still a challenge. Some methods initialize the background model at each pixel in the first N frames. However, it cannot perform well in dynamic background scenes since the background model only contains temporal features. Herein, a novel pixelwise and nonparametric moving object detection method is proposed, which contains both spatial and temporal features. The proposed method can accurately detect the dynamic background. Additionally, several new mechanisms are also proposed to maintain and update the background model. The experimental results based on image sequences in public datasets show that the proposed method provides the robustness and effectiveness in dynamic background scenes compared with the existing methods. |
| format | Article |
| id | doaj-art-eb269cf51ed24bb5b8a1c9302588f131 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-eb269cf51ed24bb5b8a1c9302588f1312025-02-03T01:32:51ZengWileyAdvances in Multimedia1687-56801687-56992017-01-01201710.1155/2017/51790135179013Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal ModelYizhong Yang0Qiang Zhang1Pengfei Wang2Xionglou Hu3Nengju Wu4School of Electronic Science & Applied Physics, Hefei University of Technology, Hefei, ChinaSchool of Electronic Science & Applied Physics, Hefei University of Technology, Hefei, ChinaSchool of Electronic Science & Applied Physics, Hefei University of Technology, Hefei, ChinaSchool of Electronic Science & Applied Physics, Hefei University of Technology, Hefei, ChinaSchool of Electronic Science & Applied Physics, Hefei University of Technology, Hefei, ChinaMoving object detection in video streams is the first step of many computer vision applications. Background modeling and subtraction for moving detection is the most common technique for detecting, while how to detect moving objects correctly is still a challenge. Some methods initialize the background model at each pixel in the first N frames. However, it cannot perform well in dynamic background scenes since the background model only contains temporal features. Herein, a novel pixelwise and nonparametric moving object detection method is proposed, which contains both spatial and temporal features. The proposed method can accurately detect the dynamic background. Additionally, several new mechanisms are also proposed to maintain and update the background model. The experimental results based on image sequences in public datasets show that the proposed method provides the robustness and effectiveness in dynamic background scenes compared with the existing methods.http://dx.doi.org/10.1155/2017/5179013 |
| spellingShingle | Yizhong Yang Qiang Zhang Pengfei Wang Xionglou Hu Nengju Wu Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model Advances in Multimedia |
| title | Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model |
| title_full | Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model |
| title_fullStr | Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model |
| title_full_unstemmed | Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model |
| title_short | Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model |
| title_sort | moving object detection for dynamic background scenes based on spatiotemporal model |
| url | http://dx.doi.org/10.1155/2017/5179013 |
| work_keys_str_mv | AT yizhongyang movingobjectdetectionfordynamicbackgroundscenesbasedonspatiotemporalmodel AT qiangzhang movingobjectdetectionfordynamicbackgroundscenesbasedonspatiotemporalmodel AT pengfeiwang movingobjectdetectionfordynamicbackgroundscenesbasedonspatiotemporalmodel AT xionglouhu movingobjectdetectionfordynamicbackgroundscenesbasedonspatiotemporalmodel AT nengjuwu movingobjectdetectionfordynamicbackgroundscenesbasedonspatiotemporalmodel |