[[abstract]]Human tracking is a popular research topic in computer vision. However, occlusion problem often complicates the tracking process. This paper presents the so-called multiview-based cooperative tracking of multiple human objects based on the homographic relation between different views. This cooperative tracking applies two hidden Markov processes (tracking and occlusion processes) for each target in each view. The tracking process locates the moving target in each view, whereas the occlusion process represents the possible visibility of the specific target in that designated view. Based on the occlusion process, the cooperative tracking process may reallocate tracking resources for different trackers in different views. Experimen...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Autho...
This thesis deals with the problem of online visual tracking of multiple humans in an enclosed envir...
One of the most interesting areas of research in computer vision is segmentation and tracking of peo...
Abstract Human tracking is a popular research topic in computer vision. However, occlusion problem o...
Human tracking is a popular research topic in computer vision. However, occlusion problem often comp...
In this paper, we propose a new multiple-camera people tracking system that is equipped with the fol...
International audienceMost multiple object tracking algorithms relying on a single view have failed ...
Occlusion reasoning is one of the most challenging issues in visual surveillance. In this letter, we...
Thesis (Ph.D.)--University of Washington, 2013This dissertation strives to develop a robust and cons...
Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individu...
This paper addresses problem of object tracking in occlusion scenarios, where multiple uncalibrated ...
The large shape variability and partial occlusions challenge most object detection and tracking meth...
This paper presents a particle filtering framework for tracking multiple persons with a monocular ...
Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individu...
As the computational ability develops in computers, there has been an increasing interest to detect,...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Autho...
This thesis deals with the problem of online visual tracking of multiple humans in an enclosed envir...
One of the most interesting areas of research in computer vision is segmentation and tracking of peo...
Abstract Human tracking is a popular research topic in computer vision. However, occlusion problem o...
Human tracking is a popular research topic in computer vision. However, occlusion problem often comp...
In this paper, we propose a new multiple-camera people tracking system that is equipped with the fol...
International audienceMost multiple object tracking algorithms relying on a single view have failed ...
Occlusion reasoning is one of the most challenging issues in visual surveillance. In this letter, we...
Thesis (Ph.D.)--University of Washington, 2013This dissertation strives to develop a robust and cons...
Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individu...
This paper addresses problem of object tracking in occlusion scenarios, where multiple uncalibrated ...
The large shape variability and partial occlusions challenge most object detection and tracking meth...
This paper presents a particle filtering framework for tracking multiple persons with a monocular ...
Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track individu...
As the computational ability develops in computers, there has been an increasing interest to detect,...
Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Autho...
This thesis deals with the problem of online visual tracking of multiple humans in an enclosed envir...
One of the most interesting areas of research in computer vision is segmentation and tracking of peo...