Abstract. In this article, we present an object tracking system which allows interactive user feedback to improve the accuracy of the tracking process in real-time video. In addition, we describe the hybrid maximum likelihood similarity, which integrates traditional metrics with the maximum likelihood estimated metric. The hybrid similarity measure is used to improve the dynamic relevance feedback process between the human user and the objects detected by our system
In this paper, we propose a visual tracker based on a metric-weighted linear representation of appea...
Abstract. A video tracking system raises a wide possibility in today’s society. This system is used ...
This thesis presents research contributions to the field of computer vision based visual object trac...
A novel visual object tracking scheme is proposed by using joint point feature correspondences and...
The volume of video data collected will only increase as the prevalence of automated systems continu...
This book chapter presents recently developed approaches for object tracking in video combining the ...
We present a user supported tracking framework that combines automatic tracking with extended user i...
Graduation date: 2014This thesis presents an interactive software tool for tracking a moving object ...
In this paper we describe a system that is designed to track a user selected object through an arbit...
The aim of this work is to track non-rigid objects using appearance in real-time without a pre-learn...
The process of locating moving objects through video sequences is a fundamental computer vision prob...
AbstractTracking methods based on the particle filter uses frequently the appearance information of ...
This chapter describes a novel hybrid visual object tracking scheme that jointly exploits local poin...
This paper addresses the problem of object tracking in video sequences. The use of a structural simi...
This paper addresses the problem of object tracking in video sequences for surveillance applications...
In this paper, we propose a visual tracker based on a metric-weighted linear representation of appea...
Abstract. A video tracking system raises a wide possibility in today’s society. This system is used ...
This thesis presents research contributions to the field of computer vision based visual object trac...
A novel visual object tracking scheme is proposed by using joint point feature correspondences and...
The volume of video data collected will only increase as the prevalence of automated systems continu...
This book chapter presents recently developed approaches for object tracking in video combining the ...
We present a user supported tracking framework that combines automatic tracking with extended user i...
Graduation date: 2014This thesis presents an interactive software tool for tracking a moving object ...
In this paper we describe a system that is designed to track a user selected object through an arbit...
The aim of this work is to track non-rigid objects using appearance in real-time without a pre-learn...
The process of locating moving objects through video sequences is a fundamental computer vision prob...
AbstractTracking methods based on the particle filter uses frequently the appearance information of ...
This chapter describes a novel hybrid visual object tracking scheme that jointly exploits local poin...
This paper addresses the problem of object tracking in video sequences. The use of a structural simi...
This paper addresses the problem of object tracking in video sequences for surveillance applications...
In this paper, we propose a visual tracker based on a metric-weighted linear representation of appea...
Abstract. A video tracking system raises a wide possibility in today’s society. This system is used ...
This thesis presents research contributions to the field of computer vision based visual object trac...
Add to ORKG