Real-time motion classification of HD video sequences on embedded systems

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Springer D, Herglotz C, Simmet F, Niederkorn D, Kaup A
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2014
Pages range: 157-161
ISBN: 9781479968411
Language: English


Abstract


Fast local and global motion estimation (ME) is crucial for a wide variety of different video processing applications, but poses significant requirements on CPU resources. Interestingly, application scenarios shift more and more from traditional PC processing to embedded devices, mostly driven by home automation, machine vision and autonomous navigation. In this paper, we demonstrate how to use DSP capabilities on embedded ARM-based OMAP Systems-On-Chip (SoCs) to provide motion analysis up to HD at speeds of 15-30 fps. We show how to acquire reliable classification of motion types like zoom, rotation or translation, and how to calculate and decompose the so-called homography matrix for further refinement. Our focus lies on navigation sequences from automotive test scenarios, but we also demonstrate the accuracy of the approach on natural video sequences.


FAU Authors / FAU Editors

Herglotz, Christian Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Springer, Dominic
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Springer, D., Herglotz, C., Simmet, F., Niederkorn, D., & Kaup, A. (2014). Real-time motion classification of HD video sequences on embedded systems. In Proceedings of the 6th European Embedded Design in Education and Research Conference, EDERC 2014 (pp. 157-161). Milano, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:
Springer, Dominic, et al. "Real-time motion classification of HD video sequences on embedded systems." Proceedings of the 6th European Embedded Design in Education and Research Conference, EDERC 2014, Milano Institute of Electrical and Electronics Engineers Inc., 2014. 157-161.

BibTeX: 

Last updated on 2019-24-04 at 12:38