Abstract
The UAV person tracking task for this evaluation was particularly difficult because of large, complicated, and low-quality videos, with only small images of people. We found that our best results were obtained using a combination of intensity thresholding (for IR imagery), motion compensation, interest-point detection and correspondence, and pattern classification. This can be considered a preliminary exploration into an extremely challenging problem.
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Miller, A., Babenko, P., Hu, M., Shah, M. (2008). Person Tracking in UAV Video. In: Stiefelhagen, R., Bowers, R., Fiscus, J. (eds) Multimodal Technologies for Perception of Humans. RT CLEAR 2007 2007. Lecture Notes in Computer Science, vol 4625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68585-2_19
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DOI: https://doi.org/10.1007/978-3-540-68585-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68584-5
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