Detection of Camouflaged People
- *Corresponding Author:
- Silva JS
CINAMIL and DCTE
Military Academy, Lisbon, Portugal
E-mail: [email protected]
Received date: June 10, 2016; Accepted date: July 02, 2016; Published date: July 11, 2016
Citation: Bento Na, Silva JS, Dias JB (2016) Detection of Camouflaged People. Sensor Netw Data Commun 5:143. doi: 10.4172/2090-4886.1000143
Copyright: © 2016 Bento NA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The use of thermal imaging is a benefit for the military people. Due to their advantages, it has a large number of applications, including the detection of camouflaged people. For better results, the thermal information can be merged with the color information which allows a greater de-tail, resulting in a higher degree of security. The present work implemented as pixel level image fusion methods: Principal Components Analysis, Laplacian Pyramid, and Discrete Wavelet Transform. A qualitative analysis concluded that the method which performs better is the one that uses Wavelets, followed by the Laplacian Pyramid and finally the PCA. A quantitative analysis was made using the metrics: Standard Deviation, Entropy, Spatial Frequency, Mutual Information, Fusion Quality Index and Structural Similarity Index. The values obtained support the conclusions extracted from the qualitative analysis.