Tracking persons in ultra-HD panoramic video

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Abstract

We present a demo for person detection and tracking in high-resolution panoramic video streams, obtained from a panoramic camera stitching video streams from 6 HD resolution tiles. The AV content analysis uses a CUDA accelerated feature point tracker, a blob detector and a CUDA HOG person detector, which are used for region tracking in each of the tiles. The results of each tile are then fused for the entire panorama to track persons over multiple tiles. © 2012 Springer-Verlag.

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APA

Thaler, M., Kaiser, R., Bailer, W., & Kriechbaum, A. (2012). Tracking persons in ultra-HD panoramic video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7131 LNCS, pp. 633–635). https://doi.org/10.1007/978-3-642-27355-1_61

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