Adaptive electronic camouflage using texture synthesis

Abstract

Camouflaged robots and leave-behind surveillance sensors are desirable in information, surveillance and reconnaissance operations to minimize the chances of detection by the enemy. Today's camouflaging techniques involve nets and painted patterns that are fixed in color and geometry, limiting their use to specific environments; a fact illustrated by numerous changes in military uniforms designed to fit the latest operating environment. Furthermore, nets are bulky and can interfere with the operation or use of a robot or leave-behind sensor. A more effective technique is to automatically adapt surface patterns and colors to match the environment, as is done by several species in nature. This can lead to the development of new and more effective robotic behaviors in surveillance missions and stealth operations. This biologically-inspired adaptive camouflage can be achieved by a) sampling the environment with a camera, b) synthesizing a camouflage image, and c) reproducing it on color electronic paper-a thin low-power reflective displaythat is part of the outer enclosure surface of the robot or device. The focus of this paper is on the work performed for the first two steps of the process. Color-camouflage-synthesis is achieved via modifications made to a gray-level texturesynthesis method that makes use of gray-level co-occurrence matrices. Statistic equality in color-proportion is achieved with the use of conditional probability constraints.

Fast Self-Adaptive Digital Camouflage Design Method Based on Deep Learning

“…Therefore, camouflage patterns are only effective in areas where the local background remains relatively constant. For a military system to operate in a variety of environments, its camouflage must be adjusted accordingly [32]. As a result, researchers around the world are beginning to design adaptive camouflage techniques that can change the color and texture of surfaces, like chameleons or octopuses, depending on their environment.…”

“…The researchers changed the robot's color, pattern, and so on by filling the tiny tubes with different colored liquids. Pezeshkian et al [32] proposed the use of gray-level co-occurrence matrices to synthesize a texture similar to the background. Then, the texture is displayed on the surface of the battlefield reconnaissance robot by electronic paper display technology to achieve the purpose of camouflage.…”

Study on electro-optical jamming effect on TV seekers by flight test

“…Smokescreen jamming is to discharge large amounts of aerosol particulates into the air to shield the protected targets and prevent them from being detected, identified and attacked by the enemy electro-optical scout and detect devices and accurate guidance weapons 2 . Electro-optical stealth jamming is to change certain electro-optical characteristics of the protected targets or their background to hide the targets and prevent them from being found by the enemy electro-optical weapons and devices 3 . The TV guidance missile is one of the main jammed objects for smokescreen and stealth jamming.…”

Digital Camouflage Design Algorithm Based on Template Combinatorial Optimization

“…For example, Narek Pezeshkian and others (Fezehkian and Neff, 2012) make use of the camera which is loaded on the device to collect background sample, according to which they compound images of large scale to achieve the purpose of camouflage. This method is particularly for detecting robot on the battlefield.…”