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A Biologically Inspired Appearance Model for Robust Visual Tracking

Shengping Zhang, Xiangyuan Lan, Hongxun Yao, Huiyu Zhou, Dacheng Tao, Xuelong Li
2017 IEEE Transactions on Neural Networks and Learning Systems  
In this paper, we focus on developing a biologically inspired appearance model for robust visual tracking.  ...  In this work, motivated by the success of using the biologically inspired appearance models for object recognition, we developed a biologically inspired appearance model for visual tracking with an emphasis  ... 
doi:10.1109/tnnls.2016.2586194 pmid:27448375 fatcat:leimk5bc7nc6tm2tte46yftw5u

BIT: Biologically Inspired Tracker

Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao
2016 IEEE Transactions on Image Processing  
Given the superior tracking performance of human visual system (HVS), an ideal design of biologically inspired model is expected to improve computer visual tracking.  ...  low-level biologically inspired features for the target appearance and imitates an advanced learning mechanism (S2 units and C2 units) to combine generative and discriminative models for target location  ...  It is particularly designed for visual tracking, and can be divided into two main components: a bio-inspired appearance model and a bio-inspired tracking model (as shown in Fig. 1 ).  ... 
doi:10.1109/tip.2016.2520358 pmid:26800541 fatcat:crwiqlfhtnbzdpjw5ui7754tme

Biologically inspired vision systems in robotics

Antonio Fernández-Caballero, José Manuel Ferrández
2017 International Journal of Advanced Robotic Systems  
The second article 5 presents an approach to human-inspired visual tracking.  ...  In addition, an appearance-shape learning method is proposed to appropriately update the 2-D appearance model and 3-D shape model.  ... 
doi:10.1177/1729881417745947 fatcat:n7guiw7n2zbvhjaifigyw7k3l4

Modeling Visual Appearance as a Global Optimization Problem in Visual Tracking

Longkui Jiang, Chuntian Bai, Yuru Wang, Hongguang Sun
2018 Innovative Computing Information and Control Express Letters, Part B: Applications  
Visual model is a key factor in visual tracking problem because its discriminative ability determines the robustness and stability of the tracker directly.  ...  This paper made major research on developing a dynamic appearance model which is optimal for the target along the whole sequence.  ...  In handling such cases, our method realizes robust tracking by constructing a robust appearance model. The tracking results are shown in Figure 2 .  ... 
doi:10.24507/icicelb.09.02.163 fatcat:fuqz2hh3hrh5xl4gqri7lzk25y

What Can We Learn from Biological Vision Studies for Human Motion Segmentation? [chapter]

Cheng Chen, Guoliang Fan
2006 Lecture Notes in Computer Science  
We attempt to develop a comprehensive computational model that involves both bottom-up and top-down processing and is deeply inspired by biological motion perception.  ...  We also examine recent research on biological movement perception, such as neural mechanisms and functionalities for biological movement recognition and two major psychological tracking theories.  ...  Inspired by this discovery, Giese and Poggio proposed a neural model for biological movement recognition [45] .  ... 
doi:10.1007/11919629_79 fatcat:2uark6vbibdbjosbrz6p3pqpxi

A survey of appearance models in visual object tracking

Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton Van Den Hengel
2013 ACM Transactions on Intelligent Systems and Technology  
Therefore, effective modeling of the 2D appearance of tracked objects is a key issue for the success of a visual tracker.  ...  To help readers swiftly learn the recent advances in 2D appearance models for visual object tracking, we contribute this survey, which provides a detailed review of the existing 2D appearance models.  ...  For example, Fan et al. [2008] present a bi-subspace model for visual tracking. The model simultaneously considers two visual cues: color appearance and texture appearance.  ... 
doi:10.1145/2508037.2508039 fatcat:uwptu4nkmbhjvib5szoafjhg3i

A Survey of Appearance Models in Visual Object Tracking [article]

Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton van den Hengel
2013 arXiv   pre-print
To help readers swiftly learn the recent advances in 2D appearance models for visual object tracking, we contribute this survey, which provides a detailed review of the existing 2D appearance models.  ...  In the literature, researchers have proposed a variety of 2D appearance models.  ...  For example, Fan et al. [2008] present a bi-subspace model for visual tracking. The model simultaneously considers two visual cues: color appearance and texture appearance.  ... 
arXiv:1303.4803v1 fatcat:tx333ej63faufnxffjttac4jxq

Towards bio-inspired unsupervised representation learning for indoor aerial navigation [article]

Ni Wang, Ozan Catal, Tim Verbelen, Matthias Hartmann, Bart Dhoedt
2021 arXiv   pre-print
To tackle that problem, this research displays a biologically inspired deep-learning algorithm for simultaneous localization and mapping (SLAM) and its application in a drone navigation system.  ...  The designed algorithm is evaluated on a dataset collected in an indoor warehouse environment, and initial results show the feasibility for robust indoor aerial navigation.  ...  ACKNOWLEDGMENT O.Ç . is funded by a Ph.D. grant of the Flanders Research Foundation (FWO).  ... 
arXiv:2106.09326v1 fatcat:m2fxiwavivgxfonexgy5xa3cee

Mimicking fly motion tracking and fixation behaviors with a hybrid visual neural network

Qinbing Fu, Shigang Yue
2017 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)  
a biological implication that visual fixation behaviors could be simply tuned via the position pathway; nevertheless, the motion-detecting pathway improves the tracking precision. (3) Contrary to segmentation  ...  This modeling study extends a former direction selective neurons model to the higher level of behavior.  ...  In addition, it appears that the visual model with complete pathways achieves more precise tracking performance with relatively smaller relative positions.  ... 
doi:10.1109/robio.2017.8324652 dblp:conf/robio/FuY17 fatcat:texm7nkr5rea3ksylwahdk4bkm

Biologically-inspired robust motion segmentation using mutual information

Anna-Louise Ellis, James Ferryman
2014 Computer Vision and Image Understanding  
Existing Bio-Inspired Computational Models 86 (Mota et al., 2006) state that because bio-inspired vision models based 87 on a vertebrates visual system are limited and require high computational 88 cost  ...  Firstly, Section 2 details the biological moti-36 vation and mapping to a combination of parametric background modelling 37 approaches.  ...  It shows 900 that biologically inspired automated visual surveillance detection systems 901 may be considered comparable to the current state of the art surveillance 902 systems in detection and tracking  ... 
doi:10.1016/j.cviu.2014.01.009 fatcat:c5pozz2awbeq5nia5m24memcxa

Performance of an insect-inspired target tracker in natural conditions

Zahra M Bagheri, Steven D Wiederman, Benjamin S Cazzolato, Steven Grainger, David C O'Carroll
2017 Bioinspiration & Biomimetics  
We thank the manager of the Botanic Gardens in Adelaide for allowing insect collection and video capture.  ...  This tracker uses a sparse measurement matrix to extract the features for the appearance model.5-Incremental Visual Tracker (IVT) (Ross et al., 2008) proposes an adaptive appearance model.  ...  inspired by a biological memory model called the Atkinson Shiffrin Memory Model (ASMM) (Atkinson and Shiffrin, 1968).  ... 
doi:10.1088/1748-3190/aa5b48 pmid:28112099 fatcat:n3xdjl23r5h2bmotj6nqq7gwom

On Virtual Characters that Can See

Eugene Borovikov, Sergey Yershov
2016 Procedia Computer Science  
Here we explore a vision-based human-centric approach to the VC design.  ...  Such a VC can be equipped with algorithms to localize humans, recognize and communicate with them.  ...  A robust FR module needs to be fast and robust to adapt to the video signal noise, variations in the visual environment and human appearances due to occlusions, facial hair, jewelry, make-up, etc.  ... 
doi:10.1016/j.procs.2016.07.475 fatcat:p2za43jnujd2rfnufezcbpijmq

Coloring Channel Representations for Visual Tracking [chapter]

Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg
2015 Lecture Notes in Computer Science  
Recently, biologically-inspired channel representations [9] have shown to provide promising results in many applications ranging from autonomous driving to visual tracking.  ...  This paper investigates the problem of coloring channel representations for visual tracking.  ...  The biologically inspired channel representation [13] , is a technique for representing data.  ... 
doi:10.1007/978-3-319-19665-7_10 fatcat:pfw4mbkd3zfftg5c2aktp47sz4

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms

V. Mahadevan, N. Vasconcelos
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence  
A biologically inspired discriminant object tracker is proposed.  ...  It is argued that discriminant tracking is a consequence of top-down tuning of the saliency mechanisms that guide the deployment of visual attention.  ...  The robustness of biological tracking mechanisms has inspired computer vision researchers to augment conventional trackers with focus of attention (FoA) mechanisms.  ... 
doi:10.1109/tpami.2012.98 pmid:22529325 fatcat:xvsqknhxgfesdjtsx5kqt25bdy

Robust Correlation Tracking for UAV Videos via Feature Fusion and Saliency Proposals

Xizhe Xue, Ying Li, Hao Dong, Qiang Shen
2018 Remote Sensing  
Finally, an adaptive template-update strategy according to saliency information is utilized to alleviate possible model drifts.  ...  Yet, a fused feature acting as a multivector descriptor cannot be directly used in prior correlation filters.  ...  Acknowledgments: The authors would like to thank the editors and the anonymous referees for their constructive comments which have been very helpful in revising this paper.  ... 
doi:10.3390/rs10101644 fatcat:54ckff5m5rgz7h52n7v5vju7iu
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