Fusion of detection and matching based approaches for laser based multiple people tracking
Most of visual tracking algorithms have been achieved by matching-based searching
strategies or detection-based data association algorithms. In this paper, our objective is to …
strategies or detection-based data association algorithms. In this paper, our objective is to …
A high performance object tracking technique with an adaptive search method in surveillance system
TH Tsai, CH Chang - 2014 IEEE International Symposium on …, 2014 - ieeexplore.ieee.org
In the video scene, the technique on tracking multiple targets, such as tracking group of
people through occlusion, is still challenging. In this paper, we present an algorithm for …
people through occlusion, is still challenging. In this paper, we present an algorithm for …
Robust tracking of multiple people in crowds using laser range scanners
Laser based people tracking systems have been developed for mobile robotic or intelligent
surveillance areas. Existing systems rely on laser point clustering to extract object locations …
surveillance areas. Existing systems rely on laser point clustering to extract object locations …
Decentralized multiple target tracking using netted collaborative autonomous trackers
This paper presents a decentralized approach to multiple target tracking. The novelty of this
approach lies in the use of a set of autonomous while collaborative trackers to overcome the …
approach lies in the use of a set of autonomous while collaborative trackers to overcome the …
A robust and efficient approach for human tracking in multi-camera systems
E Monari, J Maerker, K Kroschel - 2009 Sixth IEEE International …, 2009 - ieeexplore.ieee.org
In this paper, a robust and efficient approach for multicamera human tracking is presented.
The approach is integrated in an experimental surveillance system, based on a camera …
The approach is integrated in an experimental surveillance system, based on a camera …
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker
L Leal-Taixé, G Pons-Moll… - 2011 IEEE international …, 2011 - ieeexplore.ieee.org
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 …
detections to obtain full trajectories. In semi-crowded environments, pedestrians often …
A unified framework for tracking through occlusions and across sensor gaps
R Kaucic, AGA Perera, G Brooksby… - 2005 IEEE Computer …, 2005 - ieeexplore.ieee.org
A common difficulty encountered in tracking applications is how to track an object that
becomes totally occluded, possibly for a significant period of time. Another problem is how to …
becomes totally occluded, possibly for a significant period of time. Another problem is how to …
A camera network tracking (camnet) dataset and performance baseline
In this paper, we propose a novel Non-Overlapping Camera Network Tracking Dataset
(CamNeT) for evaluating multi-target tracking algorithms. The dataset is composed of five to …
(CamNeT) for evaluating multi-target tracking algorithms. The dataset is composed of five to …
A mobile vision system for robust multi-person tracking
A Ess, B Leibe, K Schindler… - 2008 IEEE conference on …, 2008 - ieeexplore.ieee.org
We present a mobile vision system for multi-person tracking in busy environments.
Specifically, the system integrates continuous visual odometry computation with tracking-by …
Specifically, the system integrates continuous visual odometry computation with tracking-by …
Learning to associate: Hybridboosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single
camera by progressively associating detection responses into longer and longer track …
camera by progressively associating detection responses into longer and longer track …