Robust Tracking Method to Intersections of Objects with Similar Patterns
Naoki Enda, Shinji Fukui, Wataru Kurahashi, Keisuke Takechi, Yuji Iwahori · IEEJ Transactions on Electronics Information and Systems · 2010
This paper proposes an approach of robust tracking for crossing of similar pattern objects. It is based on the particle filter. As far as only appearance information of a target object is used for the particle filter, it fails in tracking the target object when it intersects other objects with similar patterns. The proposed method uses velocity information of the target object and distance information between the target object and other moving objects in addition to appearance information. The situation judges where the target object exists and how to calculate the likelihood of each particle is changed according to the situation. The proposed method can track targets efficiently and accurately by using the result of background subtraction. Moreover, the method is improved so that it can track objects even when they are hidden wholly by a background object. Results are demonstrated by experiments using real video sequences.