Add to ORKGThe tracking algorithm performance depends on video content. This paper presents a new multi-object tracking approach which is able to cope with video content varia-tions. First the object detection is improved using Kanade-Lucas-Tomasi (KLT) feature tracking. Second, for each mobile object, an appropriate tracker is selected among a KLT-based tracker and a discriminative appearance-based tracker. This selection is supported by an online tracking evaluation. The approach has been experimented on three public video datasets. The experimental results show a bet-ter performance of the proposed approach compared to re-cent state of the art trackers. 1
International audienceIn this paper, we present a novel framework for combining several independent ...
There is a large variety of trackers, which have been proposed in the literature during the last two...
Video surveillance is an active research topic in computer vision that tries to detect, recognize an...
The tracking algorithm performance depends on video content. This paper presents a new multi-object ...
Abstract: This paper presents a new algorithm to track mobile objects in different scene conditions....
Objective of multiple object tracking (MOT) is to assign a unique track identity for all the objects...
Object tracking is one of the most important tasks in many applications of computer vision. Many tra...
This paper explores a pragmatic approach to multiple object tracking where the main focus is to asso...
An adaptive and selective multi-target tracker combines various methods for object detection and tra...
Having the ability to track multiple objects in video sequences by object detection can result in no...
[[abstract]]©2009 IEEE-This paper presents an online feature selection algorithm for video object tr...
International audienceThis paper presents a new method for combining several independent and heterog...
Multiple object tracking is the process of assigning unique and consistent identities to objects thr...
Multiple Object Tracking (MOT) is the detection of unique objects and their movements through frames...
There is a large variety of trackers, which have been proposed in the literature during the last two...
International audienceIn this paper, we present a novel framework for combining several independent ...
There is a large variety of trackers, which have been proposed in the literature during the last two...
Video surveillance is an active research topic in computer vision that tries to detect, recognize an...
The tracking algorithm performance depends on video content. This paper presents a new multi-object ...
Abstract: This paper presents a new algorithm to track mobile objects in different scene conditions....
Objective of multiple object tracking (MOT) is to assign a unique track identity for all the objects...
Object tracking is one of the most important tasks in many applications of computer vision. Many tra...
This paper explores a pragmatic approach to multiple object tracking where the main focus is to asso...
An adaptive and selective multi-target tracker combines various methods for object detection and tra...
Having the ability to track multiple objects in video sequences by object detection can result in no...
[[abstract]]©2009 IEEE-This paper presents an online feature selection algorithm for video object tr...
International audienceThis paper presents a new method for combining several independent and heterog...
Multiple object tracking is the process of assigning unique and consistent identities to objects thr...
Multiple Object Tracking (MOT) is the detection of unique objects and their movements through frames...
There is a large variety of trackers, which have been proposed in the literature during the last two...
International audienceIn this paper, we present a novel framework for combining several independent ...
There is a large variety of trackers, which have been proposed in the literature during the last two...
Video surveillance is an active research topic in computer vision that tries to detect, recognize an...