Paper Info
Title
Real-time moving object recognition and tracking using computation offloading
Abstract
Mobile robots are widely used for computation-intensive tasks such as surveillance, moving object recognition and tracking. Existing studies perform the computation entirely on robot processors or on dedicated servers. The robot processors are limited by their computation capability; real-time performance may not be achieved. Even though servers can perform tasks faster, the communication time between robots and servers is affected by variations in wireless bandwidths. In this paper, we present a system for realtime moving object recognition and tracking using computation offloading. Offloading migrates computation to servers to reduce the computation time on the robots. However, the migration consumes additional time, referred as communication time in this paper. The communication time is dependent on data size exchanged and the available wireless bandwidth. We estimate the computation and communication needed for the tasks and choose to execute them on robot processors or servers to minimize the total execution time, in order to satisfy real-time constraints.
Year
DOI
Venue
2010
10.1109/IROS.2010.5650303
Intelligent Robots and Systems
Keywords
Field
DocType
image motion analysis,mobile robots,object recognition,object tracking,computation offloading,mobile robot,object tracking,real-time moving object recognition,robot processor,wireless bandwidth,computation offloading,mobile robots,moving object recognition,surveillance and tracking
Computer vision,Wireless,Motion detection,Computer science,Server,Real-time computing,Computation offloading,Video tracking,Artificial intelligence,Robot,Mobile robot,Computation
Conference
ISSN
ISBN
Citations 
2153-0858
978-1-4244-6674-0
28
PageRank 
References 
Authors
0.97
12
4
Name
Order
Citations
PageRank
Yamini Nimmagadda1513.63
Karthik Kumar286338.37
Yung-Hsiang Lu32165161.51
Lee, C.S.G.4639114.68