An Approach to Segmenting Initial Object Movement in Visual Sensor Networks
This paper suggests a new method to extract the initial movement of moving objects in digital image data obtained in visual sensor networks. First, consecutive images are received as input. Then, the frames are partitioned into nonoverlapping square blocks of pixels, and finally, the block-based mot...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/928583 |
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| _version_ | 1832555305612869632 |
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| author | Seok-Woo Jang Si-Ho Cha |
| author_facet | Seok-Woo Jang Si-Ho Cha |
| author_sort | Seok-Woo Jang |
| collection | DOAJ |
| description | This paper suggests a new method to extract the initial movement of moving objects in digital image data obtained in visual sensor networks. First, consecutive images are received as input. Then, the frames are partitioned into nonoverlapping square blocks of pixels, and finally, the block-based motion vectors, which represent the movement information between two adjacent frames, are extracted from the received images using a block-matching algorithm. The extracted motion vectors are subsequently applied to an outlier-elimination algorithm called robust estimation to discriminate between the background motion vectors and those of noise or moving objects. The motion vectors corresponding to the noise or objects are clustered with an unsupervised clustering algorithm to segment the individual moving objects. Experimental results prove that the proposed method can effectively detect the initial movement of objects in various indoor and outdoor environments. |
| format | Article |
| id | doaj-art-3eaac829e62746edae8c7e469d3e7441 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-3eaac829e62746edae8c7e469d3e74412025-02-03T05:48:31ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/928583928583An Approach to Segmenting Initial Object Movement in Visual Sensor NetworksSeok-Woo Jang0Si-Ho Cha1 Department of Digital Media, Anyang University, 708-113 Anyang 5-Dong, Manan-Gu, Anyang 430-714, Republic of Korea Department of Multimedia Science, Chungwoon University, 113 Sukgol-Ro, Nam-Gu, Incheon 402-803, Republic of KoreaThis paper suggests a new method to extract the initial movement of moving objects in digital image data obtained in visual sensor networks. First, consecutive images are received as input. Then, the frames are partitioned into nonoverlapping square blocks of pixels, and finally, the block-based motion vectors, which represent the movement information between two adjacent frames, are extracted from the received images using a block-matching algorithm. The extracted motion vectors are subsequently applied to an outlier-elimination algorithm called robust estimation to discriminate between the background motion vectors and those of noise or moving objects. The motion vectors corresponding to the noise or objects are clustered with an unsupervised clustering algorithm to segment the individual moving objects. Experimental results prove that the proposed method can effectively detect the initial movement of objects in various indoor and outdoor environments.https://doi.org/10.1155/2014/928583 |
| spellingShingle | Seok-Woo Jang Si-Ho Cha An Approach to Segmenting Initial Object Movement in Visual Sensor Networks International Journal of Distributed Sensor Networks |
| title | An Approach to Segmenting Initial Object Movement in Visual Sensor Networks |
| title_full | An Approach to Segmenting Initial Object Movement in Visual Sensor Networks |
| title_fullStr | An Approach to Segmenting Initial Object Movement in Visual Sensor Networks |
| title_full_unstemmed | An Approach to Segmenting Initial Object Movement in Visual Sensor Networks |
| title_short | An Approach to Segmenting Initial Object Movement in Visual Sensor Networks |
| title_sort | approach to segmenting initial object movement in visual sensor networks |
| url | https://doi.org/10.1155/2014/928583 |
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