Paper Info
Title
Multi-GPU based event detection and localization using high definition videos
Abstract
Video processing algorithms are widely used in applications related to computer vision such as motion tracking, human behavior understanding, event detection and localization. Nevertheless, the new video standards, in high definitions (HD: 1280×720, or Full HD: 1920×1080) cause that actual implementations, even running on modern hardware, can't respect the needs of real-time processing. To overcome this constraint, many applications have been developed, that exploit the high power of graphic processing units (GPUs). However, any is able to treat high definition videos efficiently. In this work, we propose an effective exploitation of single and multiple GPUs, in order to achieve real-time detection and localization of abnormal events, using HD and Full HD videos. The proposed approach detects portions of video that corresponds to sudden changes of motion variations of movements. It allows also to provide areas in video frames where motion behavior is surprising compared to the rest of motion in the same frame. Experimental results have been conducted using several videos showing efficient detection and localization of abnormal events in multi-user scenarios. The use of multiple GPUs enabled a real time treatment of high definition videos with a global speedup ranging from 5 to 35, by comparison with CPU implementations.
Year
DOI
Venue
2014
10.1109/ICMCS.2014.6911183
Multimedia Computing and Systems
Keywords
DocType
ISSN
computer vision,graphics processing units,high definition video,image motion analysis,image recognition,object tracking,video signal processing,cpu implementations,event localization,full hd videos,graphic processing units,high definition videos,human behavior understanding,motion behavior,motion tracking,multigpu based event detection,video processing algorithms,event detection and localization,gpu,optical flow computation,optical imaging,tracking,real time systems
Conference
2472-7652
ISBN
Citations 
PageRank 
978-1-4799-3823-0
2
0.42
References 
Authors
7
2
Name
Order
Citations
PageRank
Mahmoudi, S.A.120.42
Pierre Manneback2131.45