In this paper, we present preliminary results of infra-red target detection using the well-known Faster R-CNN network using a publicly available MWIR data set released by NVESD. We characterize the difficulty level of the images in terms of pixels on target (POT) and the local contrast. We then evaluate the performance of the network under challenging conditions and when the number of training images are varied.
Abhijit Mahalanobis and Bruce McIntosh, "A comparison of target detection algorithms using DSIAC ATR algorithm development data set," Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098808 (Presented at SPIE Defense + Commercial Sensing: April 15, 2019; Published: 14 May 2019); https://doi.org/10.1117/12.2517423.
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