Real-time processing for intelligent-surveillance applications

IEICE Electronics Express

Byungkwan Park¹  Jaewon Sa¹  Sungju Lee¹  Heegon Kim¹  Yongwha Chung¹ 

[1] Dept. of Computer and Information Science, Korea University

关键词: surveillance;    real time;    Amdahl’s law;    video sensor;    CPU-GPU computing;    parallel processing;   

DOI  :  10.1587/elex.14.20170227

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

Although the typical sensor-server model has been widely used in intelligent-surveillance applications, the workload increases for the centralized server as the number of sensors increases; therefore, the provision of a scalable performance requires the distribution of the centralized-server workload into the sensors. Due to the limited resources of the sensor side, however, a resource-efficient real-time processing technique is required. In this paper, a real-time sensor-side surveillance technique for which parallel processing is used on CPU-GPU hybrid-computing devices is proposed. The experiment results reveal that the proposed method can provide a real-time execution of the surveillance system.

【 授权许可】

CC BY