Real-time Multiple Video Streams Processing on PC-based FPGA Platform
被引:0
作者:
Alias, Mohd Shafiq
论文数: 0引用数: 0
h-index: 0
机构:
MIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, MalaysiaMIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, Malaysia
Alias, Mohd Shafiq
[1
]
Karuppiah, Ettikan Kandasamy
论文数: 0引用数: 0
h-index: 0
机构:
MIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, MalaysiaMIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, Malaysia
Karuppiah, Ettikan Kandasamy
[1
]
Kit, Chong Poh
论文数: 0引用数: 0
h-index: 0
机构:
MIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, MalaysiaMIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, Malaysia
Kit, Chong Poh
[1
]
Tahir, Shahirina Mohd
论文数: 0引用数: 0
h-index: 0
机构:
MIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, MalaysiaMIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, Malaysia
Tahir, Shahirina Mohd
[1
]
机构:
[1] MIMOS Berhad, Dept Informat & Commun Technol, Kuala Lumpur, Malaysia
来源:
PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012)
|
2012年
关键词:
PC-based;
FPGA;
Video Analytics;
PCI Express;
D O I:
暂无
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
Programmable embedded media server based video surveillance system is prevalent as it has the capability to accommodate large network of cameras. The implementation of a wide range of programmable security analytics application in PC-based platform demands high processing bandwidth and high-end hardware specification requirements. This is due to insufficient compute resource by multicore CPU in performing some of the computationally intensive analytics operations at acceptable data rates. This paper presents a platform design considerations for programmable video analytics solving compute intensive video data processing leading to cost-efficient embedded platform solution. Our experimental analysis covers PC-based processing pipeline analysis for CPU resources to be used as design input for processing data offloading between multicore CPU and FPGA. The result identifies the processing bottleneck in PC-based media server with video analytics processing component consumes 81% of the total CPU processing cycles. This leads to the exploration of the PCI Express capability in FPGA for system solution as a transfer medium between these computing units.