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2012 Third International Conference on Networking and Distributed Computing
Observation in absolute darkness and daytime under any atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analyzing thermal images due to the variable features of pedestrians and atmospheric situations. In this paper, an efficient method is proposed for detecting pedestrians in outdoor thermal images that adapts to variable atmospheric situations. In the first step, the type ofdoi:10.1109/icndc.2012.47 fatcat:rzezt66xhzhdzfa2l5uacysk4y