Multi-Camera-Based Object Handoff Using Decision-Level Fusion
Yongmei Cheng, Wentian Zhou, Yi Wang, Chunhui Zhao, Shao‐Wu Zhang · 2009
Object handoff is the key technique of the multi-camera system. Since the feature extraction is not accurate and not integrated in the object handoff algorithm based on feature fusion, we propose an algorithm based on decision-level fusion. This algorithm can be described as: firstly, every feature of the object is defined as an evidence, whose basic belief assignment (BBA) is computed; secondly, the Dempster combination rule is used to fuse multiple evidence to get the final BBA; lastly, we can use decision rule to determine whether the current object is the same one with that in the identification framework, and also give the current object a unique identifier. After the three steps, the object handoff in the multi-camera system is finished. The simulation results show that this object handoff algorithm can achieve better performance.