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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhaohui Wang Chunping Liu Shengrong Gong |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Computer Science and Technology, Soochow University, Suzhou 215006, China (Zhaohui Wang; Chunping Liu; Shengrong Gong) |
| Abstract | This paper proposes a novel framework for tracking multiple targets with occlusion and illumination changing in scenes. Under our framework, the extension of Mean Shift algorithm via five global and local features: central location, width, height, area and Harris corner information, and Mean Shift (CFMS) are used to track multiple targets. To effectively track multiple objects with occluded and don't split up the object to different part, Harris corner information as local feature is extracted by proposed double threshold Harris corner detection algorithm when there exist occluding, moreover classify the corners in the occluding region by K-NN classifier. The proposed CFMS algorithm achieved tracking of multiple targets based on feature fusion and mean shift algorithm. The experimental results have showed that the proposed method of CFMS can track multiple objects more robustly. |
| Starting Page | 2001 |
| Ending Page | 2005 |
| File Size | 582003 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467300254 |
| e-ISBN | 9781467300247 |
| DOI | 10.1109/FSKD.2012.6233772 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | combination features Target tracking multiple objects tracking corner classification Mean Shift Harris corner Lighting Feature extraction Educational institutions Classification algorithms Detection algorithms |
| Content Type | Text |
| Resource Type | Article |
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