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Multi-Object Tracking based on Reliability Assessment of Learning in Mobile Environment  

Han, Woo ri (Dankook University of Electronic Engineering, Dankook University)
Kim, Young-Seop (Dankook University of Electronic Engineering, Dankook University)
Lee, Yong-Hwan (Department of Smart Mobile, Far East University)
Publication Information
Journal of the Semiconductor & Display Technology / v.14, no.3, 2015 , pp. 73-77 More about this Journal
Abstract
This paper proposes an object tracking system according to reliability assessment of learning in mobile environments. The proposed system is based on markerless tracking, and there are four modules which are recognition, tracking, detecting and learning module. Recognition module detects and identifies an object to be matched on current frame correspond to the database using LSH through SURF, and then this module generates a standard object information that has the best reliability of learning. The standard object information is used for evaluating and learning the object that is successful tracking in tracking module. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. The experimental results show that the proposed system is able to recognize and track the reliable objects with reliability assessment of learning for the use of mobile platform.
Keywords
Multi-Object Tracking; LSH (Locality Sensitive Hashing); SURF (Speeded-Up Robust Features); Optical Flow;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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