Title: Camouflaged object segmentation using saliency maps - a comparative study

Authors: Sachi Choudhary; Rashmi Sharma

Addresses: University of Petroleum and Energy Studies, Dehradun, 248007, India ' University of Petroleum and Energy Studies, Dehradun, 248007, India

Abstract: Camouflage is the most common approach employed by armed forces to conceal something from the enemy's gaze on the battlefield or elsewhere. This article covers the literature on several strategies used to find concealed objects that have features in common with the surrounding environment in terms of colour, texture, orientation, and intensity levels. The concern of this research is the use of saliency map to locate the camouflaged object in the scene. The proposed methodology generates a saliency map based on region contrast. Another application for detecting the hidden object in the scene is to evaluate the ability of the blending camouflage pattern. Therefore, computations have been performed to locate the hidden object within the surrounding environment and to find the effectiveness of a camouflaged texture. A comparative study has been conducted here that compares the performance of saliency map based on centre surrounded, global contrast and proposed region contrast. The focus area for this comparison is on camouflaged object only. Based on precision, recall and F-measure values, the performance of mentioned approaches have been evaluated.

Keywords: camouflage object detection; saliency map; camouflage texture evaluation; military camouflage.

DOI: 10.1504/IJCVR.2023.131987

International Journal of Computational Vision and Robotics, 2023 Vol.13 No.4, pp.359 - 377

Received: 10 Sep 2021
Accepted: 23 Mar 2022
Published online: 06 Jul 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article