Abstract
This paper presents a novel real-time multiple object tracking algorithm,which contains three parts:region correlation based foreground segmentation,merging-splitting based data association and greedy searching based occluded object localization.The main characteristics of the proposed algorithm are summarized as follows:1) the multiple object tracking and occlusion handling problem is successfully changed into an image classification problem with prior knowledge of object number and feature;2) a highly effcient greedy searching method is presented to meet real-time capability;3) it has good performance in expansibility,and it has no constraints about the number of occluded objects,the occlusion ratio and the object s motion model.Experiment results with hand labeled IBM database demonstrate that the method is effective and effcient.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
