Object and event recognition for aerial surveillance

Yi Li; Indriyati Atmosukarto; Masaharu Kobashi; Jenny Yuen; Linda G. Shapiro

doi:10.1117/12.609109

19 May 2005 Object and event recognition for aerial surveillance

Yi Li, Indriyati Atmosukarto, Masaharu Kobashi, Jenny Yuen, Linda G. Shapiro

Proceedings Volume 5781, Optics and Photonics in Global Homeland Security; (2005) https://doi.org/10.1117/12.609109
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Unmanned aerial vehicles with high quality video cameras are able to provide videos from 50,000 feet up that show a surprising amount of detail on the ground. These videos are difficult to analyze, because the airplane moves, the camera zooms in and out and vibrates, and the moving objects of interest can be in the scene, out of the scene, or partly occluded. Recognizing both the moving and static objects is important in order to find events of interest to human analysts. In this paper, we describe our approach to object and event recognition using multiple stages of classification.

Citation Download Citation

Yi Li, Indriyati Atmosukarto, Masaharu Kobashi, Jenny Yuen, and Linda G. Shapiro "Object and event recognition for aerial surveillance", Proc. SPIE 5781, Optics and Photonics in Global Homeland Security, (19 May 2005); https://doi.org/10.1117/12.609109

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