| Mathematical and Computational Applications | |
| Real-Time Multiple Object Tracking Using Virtual Shells | |
| Kekec, Taygun1  | |
| 关键词: Tracking; Background Subtraction; Kalman Filter; Virtual Shell; | |
| DOI : 10.3390/mca18030373 | |
| 学科分类:计算数学 | |
| 来源: mdpi | |
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【 摘 要 】
This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras.The proposedmethodutilizesthe conceptof a virtual shell that encloses each moving object in the scene and simplifies analysis of objectinteractions.Objectâsstatetransitionsarehandledbyaneventresolution analysis. Such a regional analysis boosts the tracking process. Finally, a pixel level evaluation is employed for all objects to establish successful pixel memberships. The proposed tracking algorithm is experimentally tested on some public databases and our own challenging aquarium setup that contains many different fish interactions.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902024429081ZK.pdf | 996KB |
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