An Anti-Occlusion Algorithm for Object Tracking
| Autor: | Xi Mei Jia, Zhong Hong Li, Yi Hu Huang, Yin Ping Zhang, Hong Lei Chong, Ning Hu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry Mechanical Engineering Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Kalman filter Tracking (particle physics) Object (computer science) Mechanics of Materials Position (vector) Video tracking Occlusion General Materials Science Computer vision Viola–Jones object detection framework Artificial intelligence business Algorithm |
| Zdroj: | Key Engineering Materials. 561:604-608 |
| ISSN: | 1662-9795 |
| DOI: | 10.4028/www.scientific.net/kem.561.604 |
| Popis: | Object occlusion often happens in reality life, so it is easy to cause the loss of tracking object. In order to solve this issue, this paper proposes an anti-occlusion algorithm for object tracking. The algorithm bases on Camshift algorithm and uses the Bhattacharya coefficient to judge whether the target is occluded. When object occlusion happened, the object position of the next frame will be predicted by using Kalman filtering algorithm. The experimental results show that the new algorithm can achieve accurate tracking of sheltered object. The algorithm is less time-consuming and more robust. |
| Databáze: | OpenAIRE |
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