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Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects

Peter Poschmann, Patrik Huber, Matthias Rätsch, Joseph Kittler, Hans-Joachim Böhme
2014 Procedia Computer Science  
In visual adaptive tracking, the tracker adapts to the target, background, and conditions of the image sequence.  ...  Each update introduces some error, so the tracker might drift away from the target over time.  ...  Conclusion and further work We proposed the fusion of a particle filter with other tracking techniques to increase the robustness of adaptive tracking.  ... 
doi:10.1016/j.procs.2014.11.025 fatcat:gzgir3txuvdy7c3lsqvjfxhu6q

Real-Time Application for Generating Multiple Experiences from 360° Panoramic Video by Tracking Arbitrary Objects and Viewer's Orientations

Syed Hammad Hussain Shah, Kyungjin Han, Jong Weon Lee
2020 Applied Sciences  
For tracking of an arbitrary interesting object, we have developed a pipeline around an existing simple object tracker to adapt it for 360° videos.  ...  This tracking algorithm was performed in real time on a CPU with high precision.  ...  Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2020, 10, 2248  ... 
doi:10.3390/app10072248 fatcat:fid2tcfe7zeollkrclubs3vzo4

Dynamical information fusion of heterogeneous sensors for 3D tracking using particle swarm optimization

Ulrich Kirchmaier, Simon Hawe, Klaus Diepold
2011 Information Fusion  
This technique has low computational complexity and its tracking performance is independent of any kind of model, statistics, or assumptions, contrary to classical methods.  ...  The introduction of confidence measurements further increases the robustness and reliability of the entire tracking system and allows an adaptive and dynamical information fusion of heterogenous sensor  ...  It is our aim in this study to establish a minimal-complexity 3D object tracking algorithm which keeps the hardware system implementation as simple as possible in order to achieve a real-time behavior  ... 
doi:10.1016/j.inffus.2010.06.005 fatcat:ner24igpmjealgza7aowhgyv4m

Robust and Persistent Visual Tracking-by-Detection for Robotic Vision Systems

Yeboah Yao, Zhuliang Yu, Wei Wu
2016 International Journal of Machine Learning and Computing  
Visual object tracking in robotics applications comes riddled with challenges associated with almost incessant object motion, robot motion or in certain cases, both object and robot motion that may not  ...  strategies are achieved towards robust tracking by means of feed-back and feed-forward strategies; Finally, a coupling scheme allows for warping to be achieved between RBG and depth space thereby facilitating  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the support of Western Transportation Construction Technology Project under the Ministry of Transport of the Peoples' Republic of China.  ... 
doi:10.18178/ijmlc.2016.6.3.598 fatcat:zeoia4drizcrbnn7wrxqhhus4i

Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey [article]

Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
2022 arXiv   pre-print
draw an overall landscape of infrastructure-based object detection and tracking methods.  ...  Owing to flexible position and pose for sensor installation, infrastructure-based detection and tracking systems can enhance the perception capability for connected vehicles and thus quickly become one  ...  The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein.  ... 
arXiv:2201.11871v2 fatcat:jyopndlcevcx5eym4e4trrjhwu

Energy Efficient Target Tracking Method for Multi-Sensory scheduling in Wireless Sensor Networks

Target tracking of maneuvering objects is an essential need of modern life.  ...  Enhancing network lifetime (i.e., reducing energy dissipation of sensor nodes) and improving tracking quality are major concern of target tracking using WSN.  ...  The significance and complexities in designing real time multisensory data fusion based target tracking in wireless sensor network is discussed.  ... 
doi:10.35940/ijitee.c8529.019320 fatcat:t5ukxmld7vcdpbounefu25eoua

Applied Multi-Dimensional Fusion

A. Mahmood, P. M. Tudor, W. Oxford, R. Hansford, J. D. B. Nelson, N. G. Kingsbury, A. Katartzis, M. Petrou, N. Mitianoudis, T. Stathaki, A. Achim, D. Bull (+4 others)
2007 Computer journal  
This paper highlights work done in the area of: Multi-spectral synthetic data generation, super-resolution techniques to enhance low resolution images, joint fusion and blind image restoration, multi-resolution  ...  The purpose of the AMDF Cluster is to investigate the benefits that data fusion, and related techniques, may bring to future military Intelligence Surveillance Target Acquisition and Reconnaissance (ISTAR  ...  Acknowledgements: This work has been funded by the UK Data and Information Fusion Defence Technology Centre (DIF DTC) AMDF and Tracking cluster projects.  ... 
doi:10.1093/comjnl/bxm069 fatcat:pawouo7wynhj3by2lwcdtogx4q

ICCV Program

2007 2007 IEEE 11th International Conference on Computer Vision  
Nicolas Papadakis, Eienne Memin: [PDF paper] Variational optimal control technique for the tracking of deformable objects Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys: [PDF paper] Joint Feature Tracking  ...  Roy-Chowdhury: [PDF paper] Stochastic Adaptive Tracking In A Camera Network Bohyung Han, Seong-Wook Joo, Larry Davis: [PDF paper] Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering  ... 
doi:10.1109/iccv.2007.4408821 fatcat:csxpst65sbagxhouhz5yuj3qbu

Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR

Feng Zhou, Henry Been-Lirn Duh, Mark Billinghurst
2008 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality  
This paper reviews the tenyear development of the work presented at the ISMAR conference and its predecessors with a particular focus on tracking, interaction and display research.  ...  It provides a roadmap for future augmented reality research which will be of great value to this relatively young field, and also for helping researchers decide which topics should be explored when they  ...  ACKNOWLEDGEMENTS We would like to appreciate the anonymous reviewers for their constructive suggestions for enhancing this paper.  ... 
doi:10.1109/ismar.2008.4637362 dblp:conf/ismar/ZhouDB08 fatcat:4djqgdlfpfegtn77bcgk5l6u5y

Computational Intelligence-Based Harmony Search Algorithm for Real-Time Object Detection and Tracking in Video Surveillance Systems

Maged Faihan Alotaibi, Mohamed Omri, Sayed Abdel-Khalek, Eied Khalil, Romany F. Mansour
2022 Mathematics  
In this aspect, this study introduces a novel computational intelligence-based harmony search algorithm for real-time object detection and tracking (CIHSA-RTODT) technique on video surveillance systems  ...  The object detection and tracking process includes the extraction of moving objects from the frames and continual tracking over time.  ...  Conflicts of Interest: The authors declare that they have no conflict of interest.  ... 
doi:10.3390/math10050733 fatcat:5jfbeu6uv5hhlputrgp6p3gofy

Intelligent visual surveillance — A survey

In Su Kim, Hong Seok Choi, Kwang Moo Yi, Jin Young Choi, Seong G. Kong
2010 International Journal of Control, Automation and Systems  
This article consists of two parts: The first part surveys image enhancement, moving object detection and tracking, and motion behavior understanding.  ...  Intelligent visual surveillance (IVS) refers to an automated visual monitoring process that involves analysis and interpretation of object behaviors, as well as object detection and tracking, to understand  ...  Kober [6] proposes a real time sliding discrete transform to enhance the local contrast of a noisy image.  ... 
doi:10.1007/s12555-010-0501-4 fatcat:pdv6jpfqfnfiraqe4ngxzvywvu

Tools for semi-automatic monitoring of industrial workflows

Roland Mörzinger, Georg Thallinger, Vassileios Anagnostopoulos, Dimitrios Kosmopoulos, Athanasios Voulodimos, Constantinos Lalos, Nikolaos Doulamis, Theodora Varvarigou, Rolando Palma Zelada, Ignacio Jubert Soler, Severin Stalder, Manolis Sardis (+13 others)
2010 Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams - ARTEMIS '10  
To this end, we propose automatic detection and tracking of humans and their activity in multiple networked cameras.  ...  The described tools offer human operators retrospective analysis of a huge amount of pre-recorded and analyzed footage from multiple cameras in order to get a comprehensive overview of the workflows.  ...  ACKNOWLEDGMENTS The research leading to these results has received funding from the European Community's Seventh Framework Programme  ... 
doi:10.1145/1877868.1877889 dblp:conf/mm/MorzingerSRGVBT10 fatcat:qazqrcajhbgeflmsm5h3dz3v2m

Information fusion for automotive applications – An overview

Christoph Stiller, Fernando Puente León, Marco Kruse
2011 Information Fusion  
Multi-object detection and tracking methods are a first step to cope with this challenge. Obviously, the existence or non-existence of an object is of paramount importance for safe driving.  ...  Such decisions are highly influenced by the association step that assigns sensor measurements to object tracks.  ...  for this object up to time step k.  ... 
doi:10.1016/j.inffus.2011.03.005 fatcat:273mt2gvvzfm3kfktj5hbmnsay

Grid-based localization and local mapping with moving object detection and tracking

Trung-Dung Vu, Julien Burlet, Olivier Aycard
2011 Information Fusion  
We present a real-time algorithm for simultaneous localization and local mapping (local SLAM) with detection and tracking of moving objects (DATMO) in dynamic outdoor environments from a moving vehicle  ...  Detected moving objects are finally tracked by a Multiple Hypothesis Tracker (MHT) coupled with an adaptive Interacting Multiple Model (IMM) filter.  ...  Fusion & Detection Association Grids Fusion Objects Detection Gating Filtering Track Managment Track to Objects Sn S2 S1 Objects List To Users Algorithm 1 Adaptive IMM Algorithm  ... 
doi:10.1016/j.inffus.2010.01.004 fatcat:kv7so3ynvvfphanljgcngsyrqy

A LiDAR-based real-time capable 3D Perception System for Automated Driving in Urban Domains [article]

Jens Rieken, Markus Maurer
2020 arXiv   pre-print
Movable elements are represented in an object tracking system capable of using multiple reference points to account for viewpoint changes.  ...  The hierarchical system design is able to model stationary and movable parts of the environment simultaneously and under real-time conditions.  ...  Acknowledgments The authors would like to thank the entire Stadtpilot team, consisting of numerous PhD candidates, technical staff and lots of students, for their valuable work and support throughout the  ... 
arXiv:2005.03404v1 fatcat:yabg6fypsfcinf2pfsubjvgjtu
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