Object tracking by sensor fusion has become an active research area in recent years, but how to fuse various information in an efficient and robust way is still an open problem. This paper presents a new algorithm for tracking speaker based on audio and visual information fusion using particle filter. A closed-loop architecture with reliability of each individual tracker is adopted, and a new method for data fusion and reliability adjustment is proposed. Experiments show the new algorithm is efficient in fusing information and robust to noise. © Springer-Verlag 2004.
CITATION STYLE
Li, X., Sun, L., Tao, L., Xu, G., & Jia, Y. (2004). A speaker tracking algorithm based on audio and visual information fusion using particle filter. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 572–580. https://doi.org/10.1007/978-3-540-30126-4_70
Mendeley helps you to discover research relevant for your work.