Image perception system object handoff using decision-Level fusion

Object handoff is the key technique of the image perception system (IPS). Since the feature extraction is not accurate, a novel object handoff algorithm based on decision-level fusion is presented. This algorithm can be described as: firstly, every feature of the object is defined as an evidence, of which basic belief assignment (BBA) is computed; secondly, the Dempster combination rule is utilized to fuse multiple evidence to get the final BBA; lastly, decision rule is utilized to determine whether the current object is the same one with that in the identification framework, and the current object also acquires an unique identifier. After the above-mentioned procedures, the object handoff in the IPS is accomplished. The simulation results show that this object handoff algorithm can achieve better performance.