Compressed domain moving object detection based on H.264/AVC macroblock types
Laumer M, Amon P, Hutter A, Kaup A (2013)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2013
Publisher: SCITEPRESS
Book Volume: 1
Pages Range: 219-228
Event location: Barcelona
ISBN: 9789898565471
Abstract
This paper introduces a low complexity frame-based object detection algorithm for H.264/AVC video streams. The method solely parses and evaluates H.264/AVC macroblock types extracted from the video stream, which requires only partial decoding. Different macroblock types indicate different properties of the video content. This fact is used to segment a scene in fore- and background or, more precisely, to detect moving objects within the scene. The main advantage of this algorithm is that it is most suitable for massively parallel processing, because it is very fast and combinable with several other pre- and post-processing algorithms, without decreasing their performance. The actual algorithm is able to process about 3600 frames per second of video streams in CIF resolution, measured on an Intel® Core™ i5-2520M CPU @ 2.5 GHz with 4 GB RAM.
Authors with CRIS profile
Marcus Laumer
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
How to cite
APA:
Laumer, M., Amon, P., Hutter, A., & Kaup, A. (2013). Compressed domain moving object detection based on H.264/AVC macroblock types. In Proceedings of the 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013 (pp. 219-228). Barcelona, ES: SCITEPRESS.
MLA:
Laumer, Marcus, et al. "Compressed domain moving object detection based on H.264/AVC macroblock types." Proceedings of the 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013, Barcelona SCITEPRESS, 2013. 219-228.
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