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Tracking multiple humans in complex situations
2004
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Tracking multiple humans in complex situations is challenging. The difficulties are tackled with appropriate knowledge in the form of various models in our approach. ...
In the first part, we show how multiple human objects are segmented and their global motions are tracked in 3D using ellipsoid human shape models. ...
ACKNOWLEDGMENTS This work was done in USC/IRIS. This research was supported, in part, by the Advanced Research and Development Activity of the US Government under contract No. MDA-908-00-C-0036. ...
doi:10.1109/tpami.2004.73
pmid:15742895
fatcat:qogyeijabnhhhd3vgmadvyhnni
MULTIPLE HUMAN TRACKING IN COMPLEX SITUATION BY DATA ASSIMILATION WITH PEDESTRIAN BEHAVIOR MODEL
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Despite the importance of understanding pedestrian behavior in public space with regard to achieving more sophisticated space design and flow control, automatic human tracking in complex situation is still ...
A new method of multiple human tracking is proposed. The key concept is that to assume a tracking process as a data assimilation process. ...
In this paper, we propose a new method of multiple human tracking under the complex situations. ...
doi:10.5194/isprsarchives-xxxix-b3-409-2012
fatcat:6g2ptrzl6jgp3cquscagostfam
A System for Dissecting the Video for Tracing Multiple Humans in Multifaceted Situation
2013
International Journal of Computer Applications
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Segmenting and tracking multiple humans is a challenging problem in complex situations in which extended occlusion, shadow and/or reflection exists. ...
Experiments show that our approach works robustly in very challenging Sequences. General Terms Human Tracking, Segmentation, Kalman Filter, Motion Template. ...
Conclusion and future work Here the work is described on segmentation and tracking of multiple human in complex situations. ...
doi:10.5120/13390-1030
fatcat:z7aebldiovalbfkhknqvfuh35a
Multiple Human Tracking Based on Multi-view Upper-Body Detection and Discriminative Learning
2010
2010 20th International Conference on Pattern Recognition
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This paper focuses on the problem of tracking multiple humans in dense environments which is very challenging due to recurring occlusions between different humans. ...
The offline and online observation models are neatly integrated into the particle filter framework to robustly track multiple highly interactive humans. ...
ACKNOWLEDGMENT This work is supported in part by National Basic Research Program of China (2006CB303102), Beijing Educational Committee Program (YB20081000303), and it is also supported by a grant from ...
doi:10.1109/icpr.2010.420
dblp:conf/icpr/XingAL10
fatcat:4rkp4xkimjbtbfnuwz2pr6jffa
Online Multi-object Tracking Based on Hierarchical Association Framework
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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In this paper, the problem of online multi-object tracking in complex scenes from a single, static, un-calibrated camera is addressed. ...
In complex scenes, it is still challenging due to frequent and prolonged occlusions, abrupt motion change of objects, unreliable detections, and so on. ...
Fig. 7 shows our tracking results in complex situation where the pedestrian pointed by an arrow is occluded by multiple pedestrians for a long-term. ...
doi:10.1109/cvprw.2016.161
dblp:conf/cvpr/JuKKKH16
fatcat:7or3de4nffbs7lumumx7tktadm
A Multiobject Tracking Framework for Interactive Multimedia Applications
2004
IEEE transactions on multimedia
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Such systems include robots operating in a dynamic and uncertain environment, biomedical systems, and advanced human computer interfaces. ...
His chief interest is in the role of computational vision in achieving robust behavior by autonomous systems. ...
In order to perform collaborative human computer interaction or surveillance, the framework must be able to accommodate more than one user situated in a complex real world environment and be able to deal ...
doi:10.1109/tmm.2004.827514
fatcat:hifsikzj3fbnbey5xshuwpurhe
Reasoning and Object-Oriented Data Processing for Multisensor Data Fusion
2002
Information & Security An International Journal
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Despite considerable accomplishments in the field, the explosive growth of environmental complexity and uncertainty raise demands for higher degree of automation and more "embedded intelligence." ...
Alerting peacekeepers in a timely manner, modern sensor systems are the main source of information for adequate situation and treat assessment and for rapid deployment of force. ...
Theoretically, the most powerful approach for tracking multiple targets is known to be Multiple Hypothesis Tracking (MHT) approach. ...
doi:10.11610/isij.0900
fatcat:l5xjeulnkramdhqwudw4allpna
Real-time Multiple Head Shape Detection and Tracking System with Decentralized Trackers
2006
Sixth International Conference on Intelligent Systems Design and Applications
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This paper presents a robust human tracking system which incorporates automatic detection of head shape objects with decentralized tracking approach. ...
This approach simplifies the competition of targets between trackers, and is more efficient than the centralized approach whose time complexity is greatly depends on the number of tracked objects. ...
Their approach can successfully track multiple human objects in a crowded situation, however, not in real-time. ...
doi:10.1109/isda.2006.253867
dblp:conf/isda/YukWCCC06
fatcat:enwik7nafjazrdyjln7lqjbkom
A relaxation algorithm for real-time multiple view 3D-tracking
2002
Image and Vision Computing
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In this paper we address the problem of reliable real-time 3D-tracking of multiple objects which are observed in multiple wide-baseline camera views. ...
Abstract In this paper we address the problem of reliable real-time 3D-tracking of multiple objects which are observed in multiple wide-baseline camera views. ...
In this paper we apply the multiple view 3D-tracking framework to address the issue of computational efficiency in the reliable capture of human movement by simultaneous tracking a person in multiple views ...
doi:10.1016/s0262-8856(02)00094-x
fatcat:wmbhvd2ovvgolh4zsj5xfgitia
Robust 3D multi-camera tracking from 2D mono-camera tracks by Bayesian association
2010
2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)
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In this paper, we present a light but automatic and robust 3D tracking method using multiple calibrated cameras. ...
The proposed system shows excellent results even in challenging situations, proving itself able to automatically boost and recover from possible errors. ...
Although monocular systems have been largely studied in the literature [1] and they are useful in a number of situations, they prove themselves insufficient in complex scenarios, also providing limited ...
doi:10.1109/icce.2010.5418780
fatcat:vsc3ooosljc7fk3navl5nffsf4
Information Security and Multisensor Data Processing
1999
Information & Security An International Journal
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It performs better than the known solutions, and provides an opportunity to rise the public safety in the complex airport area situations. ...
Multiple hypothesis tracking using Hough transform track detector is proposed and evaluated in the next paper. ...
doi:10.11610/isij.0200
fatcat:dj5l4qkwz5h2lnzhziim5aby2u
Online Learning With Novelty Detection in Human-Guided Road Tracking
2007
IEEE Transactions on Geoscience and Remote Sensing
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When novel situations are encountered, control is returned back to the human expert to initialize a new training and tracking iteration. ...
For this reason, we need to develop image interpretation systems that rely on human guidance. In this paper, we tackle the problem of semiautomatic road tracking in aerial photos. ...
Due to the complexity of the road, intensive human input is required. ...
doi:10.1109/tgrs.2007.900697
fatcat:crq5vwimufbcdedothch2fmc64
Tracking multiple people using laser and vision
2005
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems
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We present a novel system that aims at reliably detecting and tracking multiple people in an open area. Multiple single-row laser scanners and one video camera are utilized. ...
Feet trajectory tracking based on registration of distance information from multiple laser scanners and visual body region tracking based on color histogram are combined in a Bayesian formulation. ...
In situation 2, we test a much more complex situation, two people walk too close, and there are tracking errors with laser module. In situation 3, we test simultaneous tracking of multiple people. ...
doi:10.1109/iros.2005.1545159
dblp:conf/iros/CuiZZS05
fatcat:55s332l5kbfkdlb6ldijaqpmke
Intelligent visual surveillance — A survey
2010
International Journal of Control, Automation and Systems
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In wide area surveillance control task, multiple cameras or agents are controlled in a cooperative manner to monitor tagged objects in motion. ...
Detection, tracking, and understanding of moving objects of interest in dynamic scenes have been active research areas in computer vision over the past decades. ...
Also, robust tracking is possible for occlusion situations because of the shape model. Contour tracking is generally better than kernel tracking when tracking objects with complex shape changes. ...
doi:10.1007/s12555-010-0501-4
fatcat:pdv6jpfqfnfiraqe4ngxzvywvu
Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning
[chapter]
2008
Lecture Notes in Computer Science
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Various evaluations have demonstrated that this method performs better than previous methods when the interactions occur, and can maintain the correct tracking under various complex tracking situations ...
This paper presents an on-line supervised learning based method for tracking multiple interacting targets. ...
With the help of the classifiers, our method is able to deal with various complex situations in the tracking. ...
doi:10.1007/978-3-540-88690-7_48
fatcat:lrjwayrau5d3phlecgz2dhvmem
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