Distributed online data association in visual sensor networks

作者：Liu Li; Wan Jiu Qing^*

来源：Acta Automatica Sinica, 2014, 40(1): 117-125.

DOI：10.3724/SP.J.1004.2014.00117

• Data association
• Distributed inference
• Multi-object tracking
• Non-overlapping cameras
• Smart camera networks
• Spatiotemporal information
• Visual sensor networks
• Visual surveillance

One of the fundamental requirements for visual surveillance with smart camera networks is the correct association of camera's observations. In this paper, we present a distributed online approach based on multiple appearance models for multi-object tracking with distributed non-overlapping cameras. Firstly, we use multiple Gaussian models to describe each object's appearances under different camera nodes. Secondly, we develop a novel distributed online framework, in which the posterior margins of association variables are calculated using appearance and spatio-temporal information by a distributed inference algorithm, and the model parameters are updated online on each camera by approximate maximum likelihood estimation. Experimental results show the validity of the proposed method.

• 出版日期2014
• 单位北京大学