A review of binocular vision-based target detection techniques

Hao Lu; Yu Dong

doi:10.1117/12.2681268

8 June 2023 A review of binocular vision-based target detection techniques

Hao Lu, Yu Dong

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127073C (2023) https://doi.org/10.1117/12.2681268
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

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.

Citation Download Citation

Hao Lu and Yu Dong "A review of binocular vision-based target detection techniques", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127073C (8 June 2023); https://doi.org/10.1117/12.2681268

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KEYWORDS

Target detection

Feature fusion

Feature extraction

Binocular vision

Education and training

Data modeling

3D acquisition

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