<p><span>Tracking moving objects has been an issue in recent years of computer vision and image processing human tracking makes it a more significant challenge. This category various aspects wide applications, such as autonomous deriving, human-robot interactions, movement analysis. One the issues that have always made algorithms difficult is their interaction with goal recognition ...

⎯Video tracking is a complex problem because the environment, in which video motion needs to be tracked, is widely varied based on the application and poses several constraints on the design and performance of the tracking system. Current datasets that are used to evaluate and compare video motion tracking algorithms use a cumulative performance measure without thoroughly analyzing the effect o...

Over a number of years the authors have developed various methods for real-time tracking objects or tracking mobile cameras, both of which are essential precursors for many applications, not least augmented reality tasks. Though many algorithms for visual tracking are content with simply reporting a 2D x-y position in the image, a richer set of applications is available when the full pose of th...

Target track is an important research dot in weapon performance testingfiled, to stable track the flying target in optical detection system and testing instrument, horizontal trajectory tracking system based on rotating mirror was researchedin this paper.A horizontal trajectory tracking method was proposed for the tracking problem in the process of the projectile flight, the design of rotating ...

This paper addresses the accuracy problem of an eye gaze tracking system. We first analyze the technical barrier for a gaze tracking system to achieve desired accuracy, and then propose a subpixel tracking method to break the barrier. We present new algorithms for detecting the inner eye corner and the center of an iris in subpixel accuracy, and we apply these new methods in developing a real-t...

We present an algorithm for tracking the position of a curling stone from broadcast footage of curling events. Due to the constant panning of the camera in addition to perspective changes in the image, this introduces a need for image rectification and tracking of the camera view on the ice. We break the algorithm in four distinct components: rectification, frame tracking, stone tracking, and l...