Abstract
Unmanned aerial vehicles equipped with surveillance system have begun to play an increasingly important role in recent years, which has provided a wealth of valuable information for national security and defense system. The automatic understanding technology based on video contents becomes especially important when facing so abundant information. According to the characteristics of UAV videos that moving objects often appear small and background is complex, our thesis makes research among image normalization, histogram equalization, thresholding methods, morphological processing, motion history image and motion segmentation to find out their different effects in foreground detection. What’s more, we have designed basic detection method and enhanced detection method in motion objects detection module, which effectively integrates the traditional single-frame detection technology and multi-frame detection technology into our framework.
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Lu, J., Fang, P., Tian, Y. (2011). An Objects Detection Framework in UAV Videos. In: Zhou, M., Tan, H. (eds) Advances in Computer Science and Education Applications. Communications in Computer and Information Science, vol 202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22456-0_17
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DOI: https://doi.org/10.1007/978-3-642-22456-0_17
Publisher Name: Springer, Berlin, Heidelberg
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