CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Multi-views tracking within and across uncalibrated camera streams
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Real-time foreground-background segmentation using codebook model
Real-Time Imaging
Real time hand tracking by combining particle filtering and mean shift
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Automated multi-camera planar tracking correspondence modeling
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Segmenting people in small groups
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Machine Vision and Applications
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
Foundations and Trends in Signal Processing
Tracking in a Dense Crowd Using Multiple Cameras
International Journal of Computer Vision
Particle filtering with multiple and heterogeneous cameras
Pattern Recognition
Multi-camera people tracking by collaborative particle filters and principal axis-based integration
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Probability hypothesis density approach for multi-camera multi-object tracking
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Simultaneous appearance modeling and segmentation for matching people under occlusion
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A single-view based framework for robust estimation of height and position of moving people
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
An ease-of-use stereo-based particle filter for tracking under occlusion
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Cascade particle filter for human tracking with multiple and heterogeneous cameras
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Path recovery of a disappearing target in a large network of cameras
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Multiple camera people detection and tracking using support integration
Pattern Recognition Letters
BKCAS: a distributed context-aware pervasive information system to support user roaming
International Journal of Intelligent Systems Technologies and Applications
Multi-Camera Tracking with Adaptive Resource Allocation
International Journal of Computer Vision
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
On multi-view video segmentation for object-based coding
Digital Signal Processing
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Multi-person tracking-by-detection based on calibrated multi-camera systems
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
A fast method for tracking people with multiple cameras
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Real-Time Query Processing on Live Videos in Networks of Distributed Cameras
International Journal of Interdisciplinary Telecommunications and Networking
I see you there!: developing identity-preserving embodied interaction for museum exhibits
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Robust object tracking in crowd dynamic scenes using explicit stereo depth
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Navigation toward non-static target object using footprint detection based tracking
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
An association-based multi-target tracking method
Proceedings of the 2013 Research in Adaptive and Convergent Systems
A comparative study on multi-person tracking using overlapping cameras
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Localizing people in multi-view environment using height map reconstruction in real-time
Pattern Recognition Letters
People counting by learning their appearance in a multi-view camera environment
Pattern Recognition Letters
A visualization framework for team sports captured using multiple static cameras
Computer Vision and Image Understanding
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A multi-view multi-hypothesis approach to segmenting and tracking multiple (possibly occluded) persons on a ground plane is proposed. During tracking, several iterations of segmentation are performed using information from human appearance models and ground plane homography. To more precisely locate the ground location of a person, all center vertical axes of the person across views are mapped to the top-view plane and their intersection point on the ground is estimated. To tackle the explosive state space due to multiple targets and views, iterative segmentation-searching is incorporated into a particle filtering framework. By searching for people's ground point locations from segmentations, a set of a few good particles can be identified, resulting in low computational cost. In addition, even if all the particles are away from the true ground point, some of them move towards the true one through the iterated process as long as they are located nearby. We demonstrate the performance of the approach on several video sequences.