Compressed domain moving object detection by spatio-temporal analysis of H.264/AVC syntax elements
Laumer M, Amon P, Hutter A, Kaup A (2015)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 282-286
Article Number: 7170091
Event location: Cairns
ISBN: 9781479977833
Abstract
In this paper, we present a novel moving object detection algorithm for H.264/AVC-compressed video streams. The algorithm does not require full decoding up to the pixel domain but only parsing the compressed bit streams. Thereby, only syntax elements for reconstructing (sub-)macroblock types and quantization parameters are extracted. These features are used to segment the video frames into foreground and background and, according to this segmentation, to identify regions containing moving objects. In a first step, (sub-)macroblock types are analyzed to create initial maps indicating for each block the 'weight' for the presence of a moving object. These maps serve as input for our novel spatio-temporal detection algorithm to refine the weight indicating the level of motion for each block. Finally, quantization parameters of macroblocks are used to apply individual thresholds to the block weights to segment the video frames. Experimental results show that our approach efficiently identifies regions containing moving objects and that the presented algorithm is suitable for processing a large number of video streams in parallel.
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. (2015). Compressed domain moving object detection by spatio-temporal analysis of H.264/AVC syntax elements. In Proceedings of the 31st Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop, PV 2015 (pp. 282-286). Cairns, AU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Laumer, Marcus, et al. "Compressed domain moving object detection by spatio-temporal analysis of H.264/AVC syntax elements." Proceedings of the 31st Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop, PV 2015, Cairns Institute of Electrical and Electronics Engineers Inc., 2015. 282-286.
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