Abstract: Mobile robot weapons represent a concrete application of modern high technology in warfare, and their target tracking systems differ from those of other weapon target tracking systems. This paper, based on machine vision theory, utilizes wavelet transform to denoise sequential images acquired by the weapon system, proposing a method for moving target detection and tracking in complex backgrounds. This provides a theoretical basis for the research and design of mobile robot weapon target tracking systems.
Keywords: Robot weapon system; Machine vision; Noise cancellation; Target detection; Target tracking
Abstract: Mobile robot weapon is one of the specific applications of modern advanced technology in the war and its target tracking system has its own characteristics when compared to other target tracking systems. Based on the theory of machine vision, noise reduction of sequence images obtained from the weapon system is carried out by using wavelet transformation, and then a new method of target detection and tracking in complex environments is provided. The research can provide theoretical basis for further research and design of mobile robot weapon target tracking system.
Key words: robot weapon system; machine vision; noise reduction; target detection; target tracking
1 Introduction
Information reconnaissance, hazardous environment search, and surprise attacks are crucial components of modern warfare. Mobile robotic weapons, with their agile mobility, excellent concealment, and collaborative capabilities, can provide entirely new approaches and methods for these tasks. Mobile robotic weapon target tracking systems differ from other weapon tracking systems such as radar imaging, infrared imaging, and television imaging, primarily in the following aspects:
(1) Mobile robot weapons target humans as combat objects and track targets in a rigid manner.
(2) When mobile robot weapons track targets, they treat people as a whole and do not require higher-level knowledge about people's shape and characteristics.
(3) Mobile robot weapons are often used in unknown or even dynamic scenarios, and complex scenarios increase the difficulty of target tracking.
Machine vision uses computers to realize human visual functions, enabling the perception, recognition, and understanding of three-dimensional scenes in the objective world. Based on the characteristics of robot weapon target tracking systems, this paper proposes a machine vision-based method for detecting and tracking rigidly moving targets in complex scenes.
For details, please click: Robotic Weapon Target Tracking System Based on Machine Vision
