A Review of Camouflage Object Detection Techniques

Camouflage Object Detection (COD) is a constantly evolving field that deals with the difficulties of locating items hidden in intricate settings. This review examines the progression of COD techniques, from classical human methods to physical component-based methods such as infrared, LIDAR, multispectral and hyperspectral detection. Key applications of COD span from military reconnaissance to wildlife monitoring, medical imaging, and disaster response, where the ability to detect concealed objects has transformative implications. Future research should prioritize integrating diverse data sources, refining machine learning algorithms, and overcoming deployment constraints to advance the field further.