A Comprehensive Study of Object Tracking Methods
Abstract
Object tracking is a key problem in many computer vision
applications, including surveillance, automobile navigation, autonomous robot
navigation, and so on. It detects fascinating moving items and tracks them from
frame to frame. Its primary function is to detect and track a moving object or
numerous objects in image sequences. Normally, there are three stages to video
analysis: object detection, object tracking, and object reorganization. This paper
provides a brief overview of several video object tracking approaches, including
point tracking, kernel tracking, and Silhouette tracking algorithms
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