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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ning Li Dan Zhang Xiaorong Gu Li Huang Wei Liu Tao Xu |
| Copyright Year | 2015 |
| Description | Author affiliation: Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Dan Zhang; Li Huang; Wei Liu) || Coll. of Sci., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Xiaorong Gu) || Inf. Technol. Res. Base of Civil Aviation Adm. of China, Civil Aviation Univ. of China, Tianjin, China (Tao Xu) || Key Lab. of Radar Imaging & Microwave Photonics, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Ning Li) |
| Abstract | Moving object tracking is one of the key technologies in video surveillance. Mean shift algorithm fails to track the moving object in complicated environment. In this paper, a new strategy is proposed to improve the tracking ability of mean shift algorithm, in which the contrast between object and background along with similarity evaluation are applied for generating and updating object model. To eliminate the interference of the most similar features between tracking object and background, the coefficient ratio of the object to surrounding environment is first imported to generate the object model. To make sure the accuracy of updating object model, the effective way that combines similarity evaluation and Kalman filtering prediction is then applied for judge whether the tracking object is sheltered by other objects or background. The experimental results have shown that the proposed method can tack the moving object stably. |
| Starting Page | 1425 |
| Ending Page | 1429 |
| File Size | 538691 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479958276 |
| ISSN | 08407789 |
| e-ISBN | 9781479958290 |
| DOI | 10.1109/CCECE.2015.7129489 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-03 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision support systems Handheld computers Robots Conferences Face Face recognition Kalman filtering prediction moving object tracking video surveillance object model generation mean shift algorithm |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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