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Effect of contextual information on object tracking

Mohammad Hedayati, Michael J. Cree, Jonathan B. Scott
2017 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)  
Local object information, such as the appearance and motion features of the object, are useful for object tracking in videos provided the object is not occluded by other elements in the scene.  ...  During occlusion, however, the local object information in the video frame does not properly represent the true properties of the object, which leads to tracking failure.  ...  The reviewed tracking algorithms mostly focused on local object information to track interest objects.  ... 
doi:10.1109/ivcnz.2017.8402488 dblp:conf/ivcnz/HedayatiCS17 fatcat:l6etalicsjc73jsqv3ewxfn5sq

Robust multi-object tracking via cross-domain contextual information for sports video analysis

Tianzhu Zhang, Bernard Ghanem, Narendra Ahuja
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Here, intra-trajectory contextual information is based on history tracking results in the field domain, while inter-trajectory contextual information is extracted from a compiled trajectory dataset based  ...  Experimental results on real world sports data show that our system is able to effectively and robustly track a variable number of targets regardless of background clutter, camera motion and frequent mutual  ...  Based on the probability map, we can confirm the contextual information is effective to help predict the state.  ... 
doi:10.1109/icassp.2012.6288050 dblp:conf/icassp/ZhangGA12 fatcat:3ctqmdv25zbxhf72hxsumyijqi

Graph mode-based contextual kernels for robust SVM tracking

Xi Li, Anthony Dick, Hanzi Wang, Chunhua Shen, Anton van den Hengel
2011 2011 International Conference on Computer Vision  
Finally, this contextual kernel is embedded into SVMs for robust tracking. Experimental results on challenging videos demonstrate the effectiveness and robustness of the proposed tracker.  ...  In this paper, we propose a visual tracker based on support vector machines (SVMs), for which a novel graph mode-based contextual kernel is designed to effectively capture the higher-order contextual information  ...  By embedding the intrinsic contextual information into SVM, CKST is capable of learning an effective separating hyperplane for object/non-object classification, leading to robust tracking results.  ... 
doi:10.1109/iccv.2011.6126364 dblp:conf/iccv/LiDWSH11 fatcat:7irp5yeg7jhujoetzjus3ptn7e

Criss-Cross Attentional Siamese Networks for Object Tracking

Zhangdong Wang, Jiaohua Qin, Xuyu Xiang, Yun Tan, Neal N. Xiong
2022 Computers Materials & Continua  
Experimental results show that the maximum running speed of SiamCC in the object tracking benchmark dataset is 90 frames/second.  ...  The fine-tuning and retraining of fully-convolutional Siamese networks for object tracking(SiamFC) can achieve higher precision under interferences, but the tracking accuracy is still not ideal, especially  ...  We repeated SiamFC and analyzed 8 sequences with poor effect in the evaluation of object tracking benchmark.  ... 
doi:10.32604/cmc.2022.028896 fatcat:r3lfacqwbba5vj3wrcveswaijm

Strategies and techniques for use and exploitation of Contextual Information in high-level fusion architectures

J Gomez-Romero, J Garcia, M Kandefer, James Llinas, J M Molina, M A Patricio, M Prentice, S C Shapiro
2010 2010 13th International Conference on Information Fusion  
This paper will discuss the role(s) of Contextual Information (CI) in a wide variety of IF applications to include AI, CA, Defense, and Cybersecurity among possible others, the issues involved in designing  ...  Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire  ...  Hard/Soft Information Fusion", issued by the US Army Research Office (ARO) under the program management of Dr.  ... 
doi:10.1109/icif.2010.5711859 fatcat:y5mwpxwmcvgzpb4nhhnjaznwpu

Saliency Revisited: Analysis of Mouse Movements Versus Fixations

Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We extend quantitative evaluation of models in order to incorporate contextual information by proposing an evaluation methodology that allows accounting for contextual factors such as text, faces, and  ...  object attributes.  ...  The Finnish Centre of Excellence in Computational Inference Research (COIN) is acknowledged.  ... 
doi:10.1109/cvpr.2017.673 dblp:conf/cvpr/TavakoliABL17 fatcat:kdluxy2scve7ln3gagwyqvgwpu

Saliency Revisited: Analysis of Mouse Movements versus Fixations [article]

Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
2017 arXiv   pre-print
We extend quantitative evaluation of models in order to incorporate contextual information by proposing an evaluation methodology that allows accounting for contextual factors such as text, faces, and  ...  object attributes.  ...  The Finnish Centre of Excellence in Computational Inference Research (COIN) is acknowledged.  ... 
arXiv:1705.10546v1 fatcat:moa46uzchnblfiits74d2owlsi

Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters [article]

Yujie He, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu
2020 arXiv   pre-print
Quantitative and qualitative experiments on two well-known benchmarks with 173 challenging UAV video sequences demonstrate the effectiveness of the proposed framework.  ...  ., contextual attention, dimensional attention, and spatiotemporal attention, are integrated into the training and detection stages of correlation filter-based tracking pipeline.  ...  ACKNOWLEDGMENT The work was supported by the National Natural Science Foundation of China (No.61806148).  ... 
arXiv:2008.00528v2 fatcat:jigxnqqmfvay7dt3w24mfgim4e

High-precision identification of contextual information in location-aware engineering applications

Hiam M. Khoury, Vineet R. Kamat
2009 Advanced Engineering Informatics  
This paper presents research that investigated algorithms for high-precision identification of contextual information in location-aware engineering applications.  ...  This allows the identification of objects and artifacts visible in a mobile user's field of view with much higher accuracy than was possible by tracking position alone.  ...  Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the NSF, NIST, or the individuals named above.  ... 
doi:10.1016/j.aei.2009.04.002 fatcat:34rdbyuh4rhl7ckdz63d4c2vjm

Seeing with the Customer's Eye: Exploring the Challenges and Opportunities of AR Advertising

Ko de Ruyter, Jonas Heller, Tim Hilken, Matthew Chylinski, Debbie I. Keeling, Dominik Mahr
2020 Journal of Advertising  
It proposes a conceptual case for contextualization of advertising content through AR technology.  ...  This position article on augmented reality (AR) advertising offers a conceptual framework of recent scholarship on the intersection between AR technologies, advertising, and marketing metrics.  ...  Sales information Object boundaries Object identification Low Multiplayer gaze tracking for understanding social decision making?  ... 
doi:10.1080/00913367.2020.1740123 fatcat:pcdv2n4nxzg4fomcbfmwclh62q

mARGraphy: Mobile AR-based Dynamic Information Visualization

Ahyoung Choi, Youngmin Park, Youngkyoon Jang, Changgu Kang, Woontack Woo
2011 2011 International Symposium on Ubiquitous Virtual Reality  
To show the effectiveness of our work, we introduce a traditional map viewer application. It recognizes region of a traditional map with object recognition and tracking method on a mobile platform.  ...  We propose a mARGraphy, which visualizes information based on augmented reality (AR) technology.  ...  We especially thank Juhwa Lee, Sangchul Seo for their contribution on design 2D and 3D contents of this article.  ... 
doi:10.1109/isuvr.2011.21 dblp:conf/isuvr/ChoiPJKW11 fatcat:o7j5kmpiffcmzipa4nzfbo2gka

Integrating multi-stage depth-induced contextual information for human action recognition and localization

Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, Pierre Moulin
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
Extensive experiments on a challenging grayscale + depth human action detection benchmark database demonstrate the effectiveness of the depth-induced contextual information and the high detection accuracy  ...  In this paper, we propose a novel action recognition and localization framework which effectively fuses depth-induced contextual information from different levels of the processing pipeline for understanding  ...  While the previous methods only consider some low level representation e.g., motion information or 3D joint position using the depth image, our work focuses on effective modeling of the depth-induced contextual  ... 
doi:10.1109/fg.2013.6553756 dblp:conf/fgr/NiPLLM13 fatcat:jnxm2wtbnfgqbmu6x3dphjliju

Overview of contextual tracking approaches in information fusion

Erik Blasch, Jesus Garcia Herrero, Lauro Snidaro, James Llinas, Guna Seetharaman, Kannappan Palaniappan, Matthew F. Pellechia, Richard J. Sorensen, Kannappan Palaniappan
2013 Geospatial InfoFusion III  
In this paper, we seek to define and categorize different types of contextual information.  ...  One example is weather data for electro-optical target trackers of which standards have evolved over decades.  ...  Next we present an overview of the categories of contextual analysis for target tracking based on the literature review.  ... 
doi:10.1117/12.2016312 fatcat:l24tj2zkqzgc7cvdsssuupipw4

Adaptive Neuro-Fuzzy Controller for Multi-object Tracker [chapter]

Duc Phu Chau, K. Subramanian, François Brémond
2015 Lecture Notes in Computer Science  
Sensitivity to scene such as contrast and illumination intensity, is one of the factors significantly affecting the performance of object trackers.  ...  In order to overcome this issue, tracker parameters need to be adapted based on changes in contextual information.  ...  The calculation of each of these features and their effect on tracking is described next. Density of Mobile Objects: Density of mobile objects affects the detection and tracking.  ... 
doi:10.1007/978-3-319-20904-3_42 fatcat:yljudcdpqbee5mpjl3btrihc3m

Comparative Analysis of Content-Based and Context-Based Similarity on Musical Data [chapter]

C. Boletsis, A. Gratsani, D. Chasanidou, I. Karydis, K. Kermanidis
2011 IFIP Advances in Information and Communication Technology  
Humans perceive such similarity by employing a large amount of contextually semantic information.  ...  Recent research pertaining to contextual information assigned as free-form text (tags) in social networking services has indicated tags to be highly effective in improving the accuracy of music similarity  ...  Based on the previously mentioned ability of the human brain to utilise contextual information for music similarity and the rich contextually semantic nature of the human-generated information that is  ... 
doi:10.1007/978-3-642-23960-1_22 fatcat:ritynweaazffdbl26ulxeytb7q
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