Hybrid person detection and tracking in H.264/AVC video streams

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Wojaczek P, Laumer M, Amon P, Hutter A, Kaup A
Publisher: SciTePress
Publication year: 2015
Volume: 1
Pages range: 478-485
ISBN: 9789897580895
Language: English


Abstract


In this paper we present a new hybrid framework for detecting and tracking persons in surveillance video streams compressed according to the H.264/AVC video coding standard. The framework consists of three stages and operates in both the compressed and the pixel domain of the video. The combination of compressed and pixel domain represents the hybrid character. Its main objective is to significantly reduce the amount of computation required, in particular for frames and image regions with few people present. In its first stage the proposed framework evaluates the header information for each compressed frame in the video sequence, namely the macroblock type information. This results in a coarse binary mask segmenting the frame into foreground and background. Only the foreground regions are processed further in the second stage that searches for persons in the image pixel domain by applying a person detector based on the Implicit Shape Model. The third stage segments each detected person further with a newly developed method that fuses information from the first two stages. This helps obtaining a finer segmentation for calculating a color histogram suitable for tracking the person using the mean shift algorithm. The proposed framework was experimentally evaluated on a publicly available test set. The results demonstrate that the proposed framework reliably separates frames with and without persons such that the computational load is significantly reduced while the detection performance is kept.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Laumer, Marcus
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Wojaczek, Philipp


How to cite

APA:
Wojaczek, P., Laumer, M., Amon, P., Hutter, A., & Kaup, A. (2015). Hybrid person detection and tracking in H.264/AVC video streams. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 (pp. 478-485). Berlin, DE: SciTePress.

MLA:
Wojaczek, Philipp, et al. "Hybrid person detection and tracking in H.264/AVC video streams." Proceedings of the 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, Berlin SciTePress, 2015. 478-485.

BibTeX: 

Last updated on 2019-19-04 at 17:08