Tracking persons in Ultra-HD panoramic video
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
The fascinate production scripting engine
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
A distributed virtual director for an interactive event broadcast system
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Demo: virtual director for live event broadcast
Proceedings of the 20th ACM international conference on Multimedia
Towards a format-agnostic approach for production, delivery and rendering of immersive media
Proceedings of the 4th ACM Multimedia Systems Conference
Virtual director technology for social video communication and live event broadcast production
Proceedings of the 21st ACM international conference on Multimedia
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For enabling immersive user experiences for interactive TV services and automating camera view selection and framing, knowledge of the location of persons in a scene is essential. We describe an architecture for detecting and tracking persons in high-resolution panoramic video streams, obtained from the Omni Cam, a panoramic camera stitching video streams from 6 HD resolution tiles. We use 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 before fusing the results for the entire panorama. In this paper we focus on the application of the HOG person detector in real-time and the speedup of the feature point tracker by porting it to NVIDIA's Fermi architecture. Evaluations indicate significant speedup for our feature point tracker implementation, enabling the entire process in a real-time system.