To solve the problems among traditional methods which are reliability and robustness of the system, we propose a novel target recognition system based on multi-sensor fusion in this article. The system presented uses the sensors data of infrared, visible light and sound to recognize moving objects in field environment. The design consists a set of algorithms and the simulation system. Tested with field data, it shows that the recognition system has high recognition rates and low time delay compared with the traditional system. The system is highly suitable for real-time implementation and is demonstrated through a series of experiments.

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87842G (13 March 2013); doi: 10.1117/12.2021220

Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)