Yong‐Hwan Lee, Hyochang Ahn, Hyo‐Beom Ahn, Sun‐Young Lee
Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 205-215, 2019, DOI:10.31209/2018.100000056
Abstract Object tracking plays an important role in many vision applications. This paper
proposes a novel and robust object detection and tracking method to localize
and track a visual object in video stream. The proposed method is consisted of
three modules; object detection, tracking and learning. Detection module finds
and localizes all apparent objects, corrects the tracker if necessary. Tracking
module follows the interest object by every frame of sequences. Learning
module estimates a detecting error, and updates its value of credibility level.
With a validity level where the tracking is failed on tracing the learned More >
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