Journal of Real-Time Image Processing: first issue of volume 11

The first paper by Tippetts et al. is a survey paper which provides a comprehensive review of stereo vision algorithms with the focus placed on real-time performance for resource-limited systems. The seventh paper by Melo et al. addresses a real-time software-based solution for correcting the radial...

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Veröffentlicht in:Journal of real-time image processing 2016-01, Vol.11 (1), p.1-3
Hauptverfasser: Kehtarnavaz, Nasser, Carlsohn, Matthias F.
Format: Artikel
Sprache:eng
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Zusammenfassung:The first paper by Tippetts et al. is a survey paper which provides a comprehensive review of stereo vision algorithms with the focus placed on real-time performance for resource-limited systems. The seventh paper by Melo et al. addresses a real-time software-based solution for correcting the radial distortion of HD video on a personal computer equipped with a conventional graphics processing unit (GPU) and a video acquisition card. The eighth paper by Kumar et al. describes parallel implementations of video object detection algorithms such as Gaussians mixture model (GMM) for background modelling, morphological operations for post-processing, and connected component labelling (CCL) for blob labelling. A comprehensive performance analysis is conducted to derive a performance model for the multi-grid algorithm generating an improved implementation with an overall performance of more than 25 frames per second for 16.8 M images at full high dynamic range compression including data transfers between CPU and GPU.
ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-015-0552-0