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http://dx.doi.org/10.9717/kmms.2015.18.5.575

Trajectory Recovery Using Goal-directed Tracking  

Oh, Seon Ho (School of Computer Science and Engineering, College of IT, Kyungpook National University)
Jung, Soon Ki (School of Computer Science and Engineering, College of IT, Kyungpook National University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.5, 2015 , pp. 575-582 More about this Journal
Abstract
Obtaining the complete trajectory of the object is a very important task in computer vision applications, such as video surveillance. Previous studies to recover the trajectory between two disconnected trajectory segments, however, do not takes into account the object's motion characteristics and uncertainty of trajectory segments. In this paper, we present a novel approach to recover the trajectory between two disjoint but associated trajectory segments, called goal-directed tracking. To incorporate the object's motion characteristics and uncertainty, the goal-directed state equation is first introduced. Then the goal-directed tracking framework is constructed by integrating the equation to the object tracking and trajectory linking process pipeline. Evaluation on challenging dataset demonstrates that proposed method can accurately recover the missing trajectory between two disconnected trajectory segments as well as appropriately constrain a motion of the object to the its goal(or the target state) with uncertainty.
Keywords
Goal-directed Tracking; Trajectory Interpolation; Trajectory Extrapolation; Trajectory Recovery;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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