Abstract. We introduce a view–point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on...
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in...
In sports broadcasts, networks consisting of pan-tiltzoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard t...
Jens Puwein, Remo Ziegler, Luca Ballan, Marc Polle...
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...