A high speed feature matching architecture for real-time video stabilization
Journal
ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
Pages
1436-1439
Date Issued
2012
Author(s)
Abstract
An efficient feature matching architecture targets at real-time video stabilization is revealed in this paper. For some applications, such as vehicular application, real-time video stabilization is needed to provide instant stable video input. However, feature matching is usually the bottleneck to achieve high performance. High speed feature matching architecture is proposed to accelerate the performance of video stabilization. Locality sensitive hashing (LSH) helps us realize the feature matching procedure in hardware implementation. By applying the proposed dynamic table allocation and on-chip cache mechanism, this work achieves 422K queries/s and real-time feature matching with 90% in memory reduction and more than 50% in relieving the feature bus burden of the system. © 2012 IEEE.
Event(s)
2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
Other Subjects
Dynamic table; Feature matching; Hardware implementations; Locality sensitive hashing; Memory reduction; On-chip cache; Real time videos; Real-time features; Vehicular applications; Video stabilization; Hardware; Stabilization
Type
conference paper