S Pellegrini, A Ess, K Schindler… - 2009 IEEE 12th …, 2009 - ieeexplore.ieee.org
Object tracking typically relies on a dynamic model to predict the object's location from its past trajectory. In crowded scenarios a strong dynamic model is particularly important …
Object tracking and 3D reconstruction are often performed together, with tracking used as input for reconstruction. However, the obtained reconstructions also provide useful …
C Huang, B Wu, R Nevatia - Computer Vision–ECCV 2008: 10th European …, 2008 - Springer
We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low level, reliable …
B Leibe, K Schindler, N Cornelis… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approach is …
Multiple people tracking consists in detecting the subjects at each frame and matching these detections to obtain full trajectories. In semi-crowded environments, pedestrians often …
Tracking object in low frame rate video or with abrupt motion poses two main difficulties which most conventional tracking methods can hardly handle: 1) poor motion continuity and …
A fundamental requirement for effective automated analysis of object behavior and interactions in video is that each object must be consistently identified over time. This is …
A Ess, B Leibe, K Schindler… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
In this paper, we address the problem of multiperson tracking in busy pedestrian zones using a stereo rig mounted on a mobile platform. The complexity of the problem calls for an …
J Xing, H Ai, S Lao - … IEEE Conference on Computer Vision and …, 2009 - ieeexplore.ieee.org
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle filter …