Abstract
Currently, large areas are continuously monitored by camera networks, whereas an overall situation assessment within a reasonable time is a crucial requirement. In this paper, we propose our Virtual Top View (VTV) approach that provides a clear, concise and direct interpretation of on-field activities in real-time preserving the spatial relationship and, technically, employs planar homography to aggregate the Virtual Top View out of multiple, individual video streams. With an increasing number of cameras or size of the monitored area, the aggregation process slows down. Therefore, we develop acceleration methods (autogenerated warp maps) to achieve a real-time aggregation within large camera networks. Finally, we evaluate the performance and demonstrate our approach in an intra-logistics environment.
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References
Agarwal, A., Jawahar, C.V., Narayanan, P.J.: A survey of planar homography estimation techniques. Technical report, Centre for Visual Information Technology International Institute of Information Technology (2005)
Gebert, B., Borstell, H., Nykolaychuk, M., Richter, K.: Prozessvisualisierung auf basis eines hybriden sensorsystems. In: Go-3D 2012, Computergraphik für die Praxis. Tagungsband zur Konferenz (2012)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press (2004)
Iwase, S., Saito, H.: Parallel tracking of all soccer players by integrating detected positions in multiple view images. In: 17th International Conference on Pattern Recognition, pp. 751–754. IEEE Computer Society Press (2004)
Kim, K., Oh, S., Lee, J., Essa, I.A.: Augmenting aerial earth maps with dynamic information from videos. Virtual Reality 15(2-3), 185–200 (2011)
Kirch, M., Borstell, H., Poenicke, O., Richter, K.: Ortung und identifikation - konzepte und lösungen für eine sichere intralogistik. ISIS-AutoID, RFID special 1, 163–165 (2011)
Park, S., Trivedi, M.M.: Homography-based analysis of people and vehicle activities in crowded scenes. In: WACV 2007, pp. 51–56 (2007)
Richter, K., Poenicke, O.: Developing Future Logistics Applications with the Saxony-Anhalt Galileo Test Bed. In: Uckelmann, D., Scholz-Reiter, B., Rügge, I., Hong, B., Rizzi, A. (eds.) ImViReLL 2012. CCIS, vol. 282, pp. 73–80. Springer, Heidelberg (2012)
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Borstell, H., Pathan, S.S., Soffner, M., Richter, K. (2013). Virtual Top View: Towards Real-Time Agregation of Videos to Monitor Large Areas. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_68
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DOI: https://doi.org/10.1007/978-3-642-40246-3_68
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