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

Springer D, Herglotz C, Simmet F, Niederkorn D, Kaup A (2014)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 157-161

Article Number: 6924379

Event location: Milano IT

ISBN: 9781479968411

DOI: 10.1109/EDERC.2014.6924379

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.

Authors with CRIS profile

Dominic Springer Lehrstuhl für Multimediakommunikation und Signalverarbeitung Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup 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.

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