Multi-technique object tracking approach- A reinforcement paradigm
文献类型:期刊论文
作者 | Oluwarotimi Williams Samuel; Grace Mojisola Asogbon; Arun Kumar Sangaiah; Guanglin Li |
刊名 | Computers & Electrical Engineering
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出版日期 | 2017 |
文献子类 | 期刊论文 |
英文摘要 | In recent years, surveillance is fast becoming an essential part of everyday life in both commercial and residential environments due to the vital role it plays in the society. The existing tracking methods are limited by factors such as illumination variations, occlusions, camera movements, and background clutters among others. Hence, a robust multi-technique tracking method based on continuous adaptive mean shift (CamShift), corrected background weighted histogram, and unscented particle filter techniques is proposed. The mean square error statistic was used to evaluate the performance of the proposed method in terms of correctly estimating the path of a target object in video sequence acquired from three different scenarios. The obtained results showed that our proposed method has a significant improvement both quantitatively and qualitatively across all scenarios compared to the traditional CamShift and some existing methods. The proposed multi-technique approach might potentially improve the tracking capability of surveillance devices. |
URL标识 | 查看原文 |
语种 | 英语 |
WOS记录号 | WOS:000429760300042 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/11942] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | Computers & Electrical Engineering |
推荐引用方式 GB/T 7714 | Oluwarotimi Williams Samuel,Grace Mojisola Asogbon,Arun Kumar Sangaiah,et al. Multi-technique object tracking approach- A reinforcement paradigm[J]. Computers & Electrical Engineering,2017. |
APA | Oluwarotimi Williams Samuel,Grace Mojisola Asogbon,Arun Kumar Sangaiah,&Guanglin Li.(2017).Multi-technique object tracking approach- A reinforcement paradigm.Computers & Electrical Engineering. |
MLA | Oluwarotimi Williams Samuel,et al."Multi-technique object tracking approach- A reinforcement paradigm".Computers & Electrical Engineering (2017). |
入库方式: OAI收割
来源:深圳先进技术研究院
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