Discriminative correlation filters (DCFs) have\ryn been shown to perform superiorly in visual
tracking. They\ryn only need a small set of training samples from the initial frame to generate …

Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Object tracking is one of the most important components in numerous applications of
computer vision. While much progress has been made in recent years with efforts on sharing …

There is a large variety of trackers, which have been proposed in the literature during the
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …

This paper addresses the problem of single-target tracker performance evaluation. We
consider the performance measures, the dataset and the evaluation system to be the most …

Vehicle 3D extents and trajectories are critical cues for predicting the future location of
vehicles and planning future agent ego-motion based on those predictions. In this paper, we …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …