International audienceWe present an efficient algorithm to fuse two-view correspondences into multi-view consistent tracks. The proposed method relies on the Union-Find algorithm to solve the fusion problem. It is very simple and has a lower computational complexity than other available methods. Our experiments show that it is faster and computes more tracks
Abstract. General object tracking is a challenging problem, where each tracking algorithm performs w...
International audienceMost multiple object tracking algorithms relying on a single view have failed ...
We present a robust feature matching approach that considers features from more than two images duri...
International audienceWe present an efficient algorithm to fuse two-view correspondences into multi-...
Considering n pairwise feature correspondences we want sets of cor-responding matching features acro...
International audienceData association and fusion is pivot for object trackingin multi-camera networ...
With recent advancements in complex image analysis algorithms and global optimization techniques, th...
In this paper we propose a novel solution to the multi-view matching problem that, given a set of no...
An algorithm for feature point tracking is proposed. The Interacting Multiple Model (IMM) filter is ...
International audienceThis paper presents a new method for combining several independent and heterog...
Copyright © 2006 IEEEFor applications such as behavior recognition it is important to maintain the i...
Multi-Camera Multi-Object Tracking is currently drawing attention in the computer vision field due t...
Current approaches in Multiple Object Tracking (MOT) rely on the spatio-temporal coherence between d...
We address the problem of automated video tracking of targets when targets undergo multiple mutual o...
Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individu...
Abstract. General object tracking is a challenging problem, where each tracking algorithm performs w...
International audienceMost multiple object tracking algorithms relying on a single view have failed ...
We present a robust feature matching approach that considers features from more than two images duri...
International audienceWe present an efficient algorithm to fuse two-view correspondences into multi-...
Considering n pairwise feature correspondences we want sets of cor-responding matching features acro...
International audienceData association and fusion is pivot for object trackingin multi-camera networ...
With recent advancements in complex image analysis algorithms and global optimization techniques, th...
In this paper we propose a novel solution to the multi-view matching problem that, given a set of no...
An algorithm for feature point tracking is proposed. The Interacting Multiple Model (IMM) filter is ...
International audienceThis paper presents a new method for combining several independent and heterog...
Copyright © 2006 IEEEFor applications such as behavior recognition it is important to maintain the i...
Multi-Camera Multi-Object Tracking is currently drawing attention in the computer vision field due t...
Current approaches in Multiple Object Tracking (MOT) rely on the spatio-temporal coherence between d...
We address the problem of automated video tracking of targets when targets undergo multiple mutual o...
Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individu...
Abstract. General object tracking is a challenging problem, where each tracking algorithm performs w...
International audienceMost multiple object tracking algorithms relying on a single view have failed ...
We present a robust feature matching approach that considers features from more than two images duri...