Improvement on moving object tracking method for network video surveillance
To improve the performance of the traditional MeanShift algorithm based on Kalman filter,acceleration to solve the problem that the moving target changes the direction abruptly is proposed.Another algorithm using simplified Camshift algorithm to keep track of the blob size has low time complexity wh...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.031/ |
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| _version_ | 1841539683012575232 |
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| author | Guang-xing HAN Chong-rong LI |
| author_facet | Guang-xing HAN Chong-rong LI |
| author_sort | Guang-xing HAN |
| collection | DOAJ |
| description | To improve the performance of the traditional MeanShift algorithm based on Kalman filter,acceleration to solve the problem that the moving target changes the direction abruptly is proposed.Another algorithm using simplified Camshift algorithm to keep track of the blob size has low time complexity which meets the real time requirement of network video surveillance. |
| format | Article |
| id | doaj-art-be52bd04d4e94f6abbcd45e88b79daf9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-be52bd04d4e94f6abbcd45e88b79daf92025-01-14T06:44:59ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-10-013516016459688521Improvement on moving object tracking method for network video surveillanceGuang-xing HANChong-rong LITo improve the performance of the traditional MeanShift algorithm based on Kalman filter,acceleration to solve the problem that the moving target changes the direction abruptly is proposed.Another algorithm using simplified Camshift algorithm to keep track of the blob size has low time complexity which meets the real time requirement of network video surveillance.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.031/network video monitoringMeanShift algorithmKalman filterCamshift algorithm |
| spellingShingle | Guang-xing HAN Chong-rong LI Improvement on moving object tracking method for network video surveillance Tongxin xuebao network video monitoring MeanShift algorithm Kalman filter Camshift algorithm |
| title | Improvement on moving object tracking method for network video surveillance |
| title_full | Improvement on moving object tracking method for network video surveillance |
| title_fullStr | Improvement on moving object tracking method for network video surveillance |
| title_full_unstemmed | Improvement on moving object tracking method for network video surveillance |
| title_short | Improvement on moving object tracking method for network video surveillance |
| title_sort | improvement on moving object tracking method for network video surveillance |
| topic | network video monitoring MeanShift algorithm Kalman filter Camshift algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.031/ |
| work_keys_str_mv | AT guangxinghan improvementonmovingobjecttrackingmethodfornetworkvideosurveillance AT chongrongli improvementonmovingobjecttrackingmethodfornetworkvideosurveillance |