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 …

A new method (HoGG) for human detection based on Gabor filters and Histograms of
Oriented Gradients is presented in this paper. The effect of Gabor preprocessing is analyzed …

We present an algorithm for identifying and tracking independently moving rigid objects from
optical flow. Some previous attempts at segmentation via optical flow have focused on …

Analysis and understanding of worksite operations requires the collection of trajectory
information regarding active onsite entities. The trajectories provide essential information for …

This paper presents an extremely simple human detection algorithm based on correlating
edge magnitude images with a filter. The key is the technology used to train the filter …

In this paper a system for autonomous video surveillance in relatively unconstrained
environments is described. The system consists of two principal phases: object detection …

In this paper, a novel method (HoGG) for human detection in non-controlled surveillance
environments based on Gabor filters and Histograms of Oriented Gradients is proposed …

Visual tracking is a fundamental task in computer vision. However there has been no
systematic way of analyzing visual trackers so far. In this paper we propose a method that …

Detecting and tracking people in scenes monitored by cameras is an important step in many
application scenarios such as surveillance, urban planning or behavioral studies to name a …

This paper proposes a novel online domain-shift appearance learning and object tracking
scheme on a Riemannian manifold for visual and infrared videos, especially for video …