Matching-based algorithms have been commonly used in planar object tracking. They often
model a planar object as a set of keypoints, and then find correspondences between …

In this paper, we introduce a novel vision-based framework for tracking multiple active
objects using guidance laws based on a rendezvous cone method. These guidance laws …

For 15 years now, visual tracking has been a very active research area of the computer
vision community. But an increasing amount of works can be observed in the last five years …

Deformable part models exhibit excellent performance in tracking non-rigidly deforming
targets, but are usually outperformed by holistic models when the target does not deform or …

As an important and challenging problem in computer vision and graphics, keypoint-based
object tracking is typically formulated in a spatio-temporal statistical learning framework …

In the fields of computer vision and graphics, keypoint-based object tracking is a
fundamental and challenging problem, which is typically formulated in a spatio-temporal …

In this paper, we present a novel vision-based framework for tracking dynamic objects using
guidance laws based on a rendezvous cone approach. These guidance laws enable an …

This work proposes a novel part-based method for visual object tracking. In our model,
keypoints are considered as elementary predictors localizing the target in a collaborative …

A novel method based on Surf points is proposed to detect and lock-track single ground
target in aerial videos. Videos captured by moving cameras contain complex motions, which …

Planar object tracking, which detects the posture change of the 2D objects in a frame-by-
frame manner, plays a critical role in various practical applications including visual …