A review of binocular vision-based target detection techniques

Binocular vision-based target detection is one of the hot topics in computer vision, where the technique aims to detect and localize target objects in images. The technology has applications in fields such as autonomous driving, video surveillance, and UAV flight control. In recent years, with the development of deep learning techniques, its speed, accuracy, and robustness have led to its widespread use in various research areas. This paper first lists the history of the development of target detection techniques, then introduces two target detection methods for binocular vision, and finally suggests possible improvements and development trends. Through summary and analysis, the aim is to provide a reference for work related to conducting binocular vision target detection.