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Real-time processing for intelligent-surveillance applications

Authors
Lee, SungjuKim, HeegonSa, JaewonPark, ByungkwanChung, Yongwha
Issue Date
25-4월-2017
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Keywords
surveillance; real time; Amdahl' s law; video sensor; CPU-GPU computing; parallel processing
Citation
IEICE ELECTRONICS EXPRESS, v.14, no.8
Indexed
SCIE
SCOPUS
Journal Title
IEICE ELECTRONICS EXPRESS
Volume
14
Number
8
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/83721
DOI
10.1587/elex.14.20170227
ISSN
1349-2543
Abstract
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.
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