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Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking [article]

Xiao Wang, Chenglong Li, Rui Yang, Tianzhu Zhang, Jin Tang, Bin Luo
2018 arXiv   pre-print
The tracking-by-detection framework requires a set of positive and negative training samples to learn robust tracking models for precise localization of target objects.  ...  from the guidance of both visual and natural language cues.  ...  Moreover, how to use natural language to guide the learning of graph-based structural feature representations remains not studied yet.  ... 
arXiv:1811.10014v2 fatcat:fmxfwo7i2zg4zjmgle7agrs3sa

Siamese Tracking with Lingual Object Constraints [article]

Maximilian Filtenborg, Efstratios Gavves, Deepak Gupta
2020 arXiv   pre-print
This paper explores, tracking visual objects subjected to additional lingual constraints.  ...  Classically, visual object tracking involves following a target object throughout a given video, and it provides us the motion trajectory of the object.  ...  Natural Language Tracking. Li et al. [17] propose to use a natural language specification to identify the target object.  ... 
arXiv:2011.11721v1 fatcat:a3p44anji5gz7eiuup3d2jjhpy

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark [article]

Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
2021 arXiv   pre-print
We believe this benchmark will greatly boost related researches on natural language guided tracking.  ...  However, existing natural language initialized trackers are developed and compared on benchmark datasets proposed for tracking-by-BBox, which can't reflect the true power of tracking-by-language.  ...  Efficiency Analysis In this work, two baseline methods are proposed for the natural language initialized tracking (Our-I) and natural language guided tracking (Our-II).  ... 
arXiv:2103.16746v1 fatcat:hxmyyxiaenhyjhyitwiazjkyea

Eye tracking support for visual analytics systems

Nelson Silva, Tanja Blascheck, Radu Jianu, Nils Rodrigues, Daniel Weiskopf, Martin Raubal, Tobias Schreck
2019 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications - ETRA '19  
In a call for action, we map the road for future research to broaden the use of eye tracking and advance visual analytics.  ...  Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complex datasets.  ...  ACKNOWLEDGMENTS We thank Gennady Andrienko, for providing the V-Analytics image, and all authors of Situated Analytics, FiberClay and Mobile Law Enforcement systems for kindly providing their own images  ... 
doi:10.1145/3314111.3319919 dblp:conf/etra/SilvaBJRWRS19 fatcat:vpwrpqgr4rf2ngsax22ctbbeh4

Eye-tracking study of animate objects

Vanja Kovic, Kim Plunkett, Gert Westermann
2009 Psihologija  
the structural similarity of animate objects, in particular the presence of a head.  ...  , respectively), which led to the conclusion that participants' consistency in processing animate objects was not reflecting underlying mental representation evoked by labels, but was rather driven by  ...  the naming and non-naming conditions may have to do with a high consistency of visual structure for the majority of objects, and in particular the presence of a head which was attended first and which  ... 
doi:10.2298/psi0903307k fatcat:azzdt6wzwjb7dcb6waluelqc3i

SoDA: Multi-Object Tracking with Soft Data Association [article]

Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
2020 arXiv   pre-print
The resulting latent space representation allows our model to learn to reason about occlusions in a holistic data-driven way and maintain track estimates for objects even when they are occluded.  ...  Our experimental results on the Waymo OpenDataset suggest that our approach leverages modern large-scale datasets and performs favorably compared to the state of the art in visual multi-object tracking  ...  The results suggest that our method performs favorably when compared to the state of the art in visual multi-object tracking. Related Work Multi-Object Tracking.  ... 
arXiv:2008.07725v2 fatcat:ljvlc74juzfmrbyugn2gzm36fq

Infants track word forms in early word-object associations

Tania S. Zamuner, Laurel Fais, Janet F. Werker
2014 Developmental Science  
One characterization of this process is that language learners discover objects and then look for word forms to associate with these objects (Mcnamara, 1984; Smith, 2000) .  ...  A central component of language development is word learning.  ...  of the sound patterns of the native language and comprehension of the nature, behavior, and function of objects.  ... 
doi:10.1111/desc.12149 pmid:24576138 fatcat:trvvh3giz5b6fhq6k6jpyvlcde

A review of using eye-tracking technology in exploring learning from 2000 to 2012

Meng-Lung Lai, Meng-Jung Tsai, Fang-Ying Yang, Chung-Yuan Hsu, Tzu-Chien Liu, Silvia Wen-Yu Lee, Min-Hsien Lee, Guo-Li Chiou, Jyh-Chong Liang, Chin-Chung Tsai
2013 Educational Research Review  
This study aims to disclose how eye-tracking technology has been applied to studies of learning, and what eye movement measures have been used for investigations by reviewing studies that have employed  ...  This study concludes that the eye-tracking method provides a promising channel for educational researchers to connect learning outcomes to cognitive processes.  ...  actions by others, social referencing Meaning-based representation Concepts of basic or natural objects, schema (true categories and episodic memories) Language Phonological, lexical, grammatical  ... 
doi:10.1016/j.edurev.2013.10.001 fatcat:pwzueye7v5h4tntonrjjxnezmm

Efficient and Interpretable Neural Models for Entity Tracking [article]

Shubham Toshniwal
2022 arXiv   pre-print
What would it take for a natural language model to understand a novel, such as The Lord of the Rings?  ...  This problem of entity tracking is essential for language understanding, and thus, useful for a wide array of downstream applications in NLP such as question-answering, summarization.  ...  Since measuring the entity tracking capability of natural language models is challenging due to the complexity of natural language and the underlying world they describe, we propose the task of language  ... 
arXiv:2208.14252v1 fatcat:ojw2bctryvf7xk7aaavw24h7eq

The emergence of awareness in uninstructed L2 learning: A visual world eye tracking study

Sible Andringa
2020 Second Language Research  
Visual world eye tracking was used to monitor learners on the fly as they were exposed to a fully unknown miniature language with a determiner system marking for distance and animacy.  ...  It lies at the heart of discussions about the (im)possibility of learning without awareness, or conversely, whether some degree of awareness is a requirement for learning to take place.  ...  Acknowledgements I would first and foremost like to thank John Williams for the wisdom shared when designing and writing up this study.  ... 
doi:10.1177/0267658320915502 fatcat:zwxbjvlmmvgvhjn6ywpspypkre

A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data—A Proposal in Cultural Heritage

Roberto Pierdicca, Marina Paolanti, Ramona Quattrini, Marco Mameli, Emanuele Frontoni
2020 Sensors  
However, the most challenging aspect is to determine what the visitor is interested in. In this work, a novel Visual Attentive Model (VAM) has been proposed that is learned from eye tracking data.  ...  Our proposed method combines a new coordinates representation from eye sequences by using Geometric Algebra with a deep learning model for automated recognition (to identify, differentiate, or authenticate  ...  Acknowledgments: This work was funded by CIVITAS, an interdisciplinary research project founded by the Universitá Politecnica delle Marche, aimed to develop and test new paradigms of digitization and fruition  ... 
doi:10.3390/s20072101 pmid:32276462 fatcat:3tswzpfsrreb5ia36dw7orgvmm

The Effect of Feedback on Attention Allocation in Category Learning: An Eye Tracking Study

Yael Arbel, Emily Feeley, Xinyi He
2020 Frontiers in Psychology  
Using eye-gaze measures, Rehder and Hoffman studied changes in attention allocation during category learning in a 5-4 category structure paradigm with four features of varying diagnosticity levels.  ...  It has been suggested that category learning involves changes in attention allocation based on the relevance of input to the classification.  ...  This methodology has been used to measure attention allocation in the context of visual perception (Loftus and Mackworth, 1978; Henderson, 1999) , written language processing (e.g., Just and Carpenter  ... 
doi:10.3389/fpsyg.2020.559334 pmid:33244302 pmcid:PMC7683802 fatcat:calwquq36jbhdld7ggotsulssa

RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation [article]

En Yu, Zhuoling Li, Shoudong Han, Hongwei Wang
2021 arXiv   pre-print
Existing online multiple object tracking (MOT) algorithms often consist of two subtasks, detection and re-identification (ReID).  ...  To resolve this restriction, we develop a module, referred to as Guided Transformer Encoder (GTE), by combining the powerful reasoning ability of Transformer encoder and deformable attention.  ...  Transformer [18] is first proposed for natural language processing and then extensively applied to various computer vision tasks [49] .  ... 
arXiv:2105.04322v1 fatcat:eyobeczz2jbdndbeujm3ehwg6u

Eye Movements from Laboratory to Life [chapter]

Benjamin W. Tatler
2013 Current Trends in Eye Tracking Research  
Moreover, visual sampling is effectively limited to when the retinal image is relatively stabilised for periods of fixation (Erdmann and Dodge 1898), which last on average around 200-400 ms when viewing  ...  for the current situation.  ...  Moreover, reward-based models of fixation selection provide a promising new direction for research and language for describing the priority maps that are likely to underlie decisions about when and where  ... 
doi:10.1007/978-3-319-02868-2_2 fatcat:mfnlorktv5g4xbk4uidudcx4ai

A Multidisciplinary Study of Eye Tracking Technology for Visual Intelligence

Shyamli Sindhwani, Gregory Minissale, Gerald Weber, Christof Lutteroth, Anthony Lambert, Neal Curtis, Elizabeth Broadbent
2020 Education Sciences  
These MP4 recordings can be played back and graphically enhanced with coloured dots and lines to point out this natural and fluent eye behaviour to learners.  ...  of how eye tracking is important for teaching in arts and science subjects at undergraduate and postgraduate levels.  ...  It is also important for observational learning that learners attend to and discern the notable features of the modelled behaviour accurately to promote learning.  ... 
doi:10.3390/educsci10080195 fatcat:3ronol7a3zfjhf2wyz3ryfxvee
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