Title :
Tracking multi objects with different size based on data association
Author :
Xue Tingting ; Wang Yanjiang ; Yujuan Qi
Author_Institution :
Coll. of Inf. & Control Eng., China Univ. of Pet. (East China), Qingdao, China
Abstract :
In this paper, a recursive multiple objects tracking method based on data association is proposed. Firstly, an adaptive tracking window is designed for the scale changes of the object in motion scene. Then a data association method is proposed for multi-object tracking. The tracking window and the observation data of the same object at different time as well as the different objects at the same time are all associated to achieve robust tracking of the objects with different number and size. Experimental results show that the proposed multi-object tracking mechanism can deal with complicated situations such as object occlusion, merging, separating, appearing and disappearing.
Keywords :
image motion analysis; target tracking; adaptive tracking window; data association method; motion scene; multiobject tracking mechanism; object occlusion; observation data; recursive multiple objects tracking method; robust tracking; tracking multiobjects; adptive tracking window; data association; multi-object tracking; particle filter;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491775