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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  
This problem is further compounded by appearance variations which result from scale and pose variations, rendering the establishment of robust online tracking schemes a challenging task.  ...  An intermediary stage between object detection and model update is further introduced towards intelligent and adaptive model and classifier parameter update schemes.  ...  Due to the complexity of the environments where robots are deployed, the need for tracking schemes with the capability to learn and adapt online while remaining robust to background clutter and appearance  ... 
doi:10.18178/ijmlc.2016.6.3.598 fatcat:zeoia4drizcrbnn7wrxqhhus4i

Robust depth-based object tracking from a moving binocular camera

Liujuan Cao, Cheng Wang, Jonathan Li
2015 Signal Processing  
Then, to handle the partial occlusions, we design a simple yet effective scheme to detect and recovery occlusions using depth information obtained from a moving binocular camera.  ...  Depth is a rich source of information and has been successfully utilized in numerous computer vision applications. However, it is often ignored in object tracking.  ...  Acknowledgment This work is supported by the Natural Science Foundation of China (No. 61402388 and No. 61373076).  ... 
doi:10.1016/j.sigpro.2014.08.041 fatcat:oixt4kyeabgghgy7z7zvi746vy

Towards Occlusion Handling in Visual Tracking-by-Detection Systems

Yao Yeboah, Zhuliang Yu, Wei Wu
2017 International Journal of Future Computer and Communication  
The resulting scheme allows for the tracker to achieve occlusion detection, tracker recovery and a significant alleviation of the drift problem associated with tracking-by-detection state-of-the-art.  ...  Finally, a patch-based modeling strategy for depth features, coupled with a robust occlusion estimator is proposed.  ...  By harnessing this adaptive model update, a robust occlusion estimator is realized with the capability to detect occlusion on a per-frame basis and hence, allow for the tracker to be recovered when the  ... 
doi:10.18178/ijfcc.2017.6.1.480 fatcat:cakxwbuleffmrhombj5ywd5vd4

Scale Adaptive Kernelized Correlation Filter Tracker with Feature Fusion

Tongxue Zhou, Ming Zhu, Dongdong Zeng, Hang Yang
2017 Mathematical Problems in Engineering  
Third, an adaptive learning rate and an occlusion detection mechanism are presented to update the target appearance model in presence of occlusion problem.  ...  , scale variations, occlusion, and other complex scenes.  ...  Third, we present an adaptive learning rate and an occlusion detection mechanism to update the target appearance model in presence of occlusion problem.  ... 
doi:10.1155/2017/1605959 fatcat:3i6iswja3nai7jt75bnm26fbl4

Tracking Using Online Feature Selection and a Local Generative Model

T. E. Woodley, B. Stenger, R. Cipolla
2007 Procedings of the British Machine Vision Conference 2007  
This paper proposes an algorithm for online feature selection which improves robustness to occlusions by referring to a localized generative appearance model.  ...  By combining the attractive qualities of each approach, our framework can cope with appearance changes of a target object and will maintain proximity to a static appearance model.  ...  Occlusion detection increases with size of occluded region but with the consequence of an increased false detection rate. Figure 6 : 6 Real-time tracking with occlusion.  ... 
doi:10.5244/c.21.86 dblp:conf/bmvc/WoodleySC07 fatcat:6co2k2frbrdlhdsl7xusfv3j7i

Online structure learning for robust object tracking

Liwei Liu, Junliang Xing, Haizhou Ai
2013 2013 IEEE International Conference on Image Processing  
In this paper, we aim to track objects that undergo abrupt appearance changes and heavy occlusions.  ...  In addition, OSMs guide the block occlusion reasoning and the update scheme of BORFs and relational models, which can handle appearance changes and drift problems effectively.  ...  These methods are Multiple Instance Learning tracker (MIL) [8] , Online AdaBoost tracker (OAB) [9] , Adaptive Structural Sparse representation based tracker (ASS) [12] and Tracking-Learning-Detection  ... 
doi:10.1109/icip.2013.6738805 dblp:conf/icip/LiuXA13 fatcat:ckaulla6kfcdde7eiqfb7os2tm

A Real-time Visual Tracking System with Delivery Robot

Chao LI, Chu-qing CAO, Yun-feng GAO
2017 DEStech Transactions on Computer Science and Engineering  
The critical step is the tracking algorithm we utilized, this tracking algorithm must be robust, which can easily detect and locate the target, and adapt many complicated environment without loss the target  ...  In the system designing, a FFT based tracking algorithm is used and the experimental results showed that this algorithm is both robust and efficient, thus is very appropriate for the luggage delivery robotic  ...  The Fast Fourier Transform algorithm can deal with appearance variations introduced by occlusion, illumination changes, and pose variations. B. This algorithm is scale adaptive. C.  ... 
doi:10.12783/dtcse/aita2016/7554 fatcat:3zw22ulyobfbhfgzzufbswxg7y

Adaptive Randomized Ensemble Tracking Using Appearance Variation and Occlusion Estimation

Weisheng Li, Yanjun Lin
2016 Mathematical Problems in Engineering  
In contrast with the existing methods, the learning rate for updating classifier ensembles adaptively is adjusted by estimating the appearance variation with sparse optical flow and the possible occlusion  ...  Tracking-by-detection methods have been widely studied with promising results.  ...  1085), Chongqing Outstanding Youth Found (cstc2014 jcyjjq40001), and Chongqing Research Program of Application Foundation and Advanced Technology (cstc2012 jjA40036).  ... 
doi:10.1155/2016/1879489 fatcat:5x3txjafdrfhtnesba3lqxl4i4

An Adaptive Approach for Validation in Visual Object Tracking

W. Jasper Princy Shinora, L. Agilandeeswari, K. Muralibabu
2015 Procedia Computer Science  
The uncertainty of validating unpredictable features in object tracking is a challenging task in visual object tracking with occlusion and large appearance variation.  ...  To address this uncertainty, we propose an adaptive approach which uses updating model based on the occlusion and distortion parameters.  ...  Fig. 3 . 3 David Indoor with background clutter and occlusion Quick Appearance Variation: Fig. 4 .Fig. 5 . 45 Occlusion1 with appearance variation and occlusion Caviar2 with occlusion and fast movement  ... 
doi:10.1016/j.procs.2015.08.010 fatcat:6vepqnyj2zdbhn2rfqgxk6qom4

The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Kourosh MESHGI, Shin ISHII
2015 IEICE transactions on information and systems  
The findings suggest that although occlusion detection facilitated tracking impressively, it has been largely ignored.  ...  Literature analysis reveals that researchers examined every aspect of a tracker design that is hypothesized as beneficial in the robust tracking under occlusion.  ...  Acknowledgments The authors are grateful to the reviewers and editor for their careful and close reading of the manuscript and fruitful comments.  ... 
doi:10.1587/transinf.2014edr0002 fatcat:bhjphhgpind55c5by35ik3yphq

Occlusion detection via correlation filters for robust object tracking

Wei Zhang, Baosheng Kang
2018 The Journal of Engineering  
Furthermore, the model is updated adaptively based on the changes of occlusion state and target appearance to make the tracking process robust.  ...  This study presents a robust object tracking method based on occlusion detection via correlation filters.  ...  Moreover, the model is updated adaptively based on the changes of occlusion state and target appearance to make the tracking process robust.  ... 
doi:10.1049/joe.2017.0795 fatcat:uckgllhcanabxgi4clyebjzodu

Robust Object Tracker in Video via Discriminative Model

Mehrez ABDELLAOUI, Ali DOUIK
2019 Studies in Informatics and Control  
To overcome this problem, both the interest point detection methods and online boosting discriminative model were combined in order to obtain a robust tracker.  ...  In this paper a new method for object tracking in complex video scenes is presented. Video object tracking is one of the most challenging tasks in the field of image and video processing.  ...  The detected patch is the one with the best classification score. Combining both online boosting and feature detection, a robust tracking algorithm was obtained.  ... 
doi:10.24846/v28i3y201910 fatcat:rtfrx5mqzveydggzgmtdterpre

Long-term correlation tracking

Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we address the problem of long-term visual tracking where the target objects undergo significant appearance variation due to deformation, abrupt motion, heavy occlusion and out-of-view.  ...  In addition, we train an online random fern classifier to re-detect objects in case of tracking failure.  ...  We further address two issues of tracking-by-detection approaches where tracking is usually formulated as an online learning problem with the goal of learning an appearance classifier discriminating the  ... 
doi:10.1109/cvpr.2015.7299177 dblp:conf/cvpr/MaYZY15 fatcat:45hg4wqx75esrnolt75um7yjs4

Robust Visual Tracking with Occlusion Judgment and Re-Detection

Shaoming Li, Jun Chu, Guochong Zhong, Lu Leng, Jun Miao
2020 IEEE Access  
The results are compared and analyzed with those of two long-term tracking algorithms (TLD: tracking learning detection algorithms, and LCT: long-term correction tracking) and the Struck (structured output  ...  Meanwhile, we develop an occlusion judgment strategy and an adaptive online model update strategy for robust visual tracking, that will be carefully discussed in Section III.  ... 
doi:10.1109/access.2020.3007261 fatcat:sthqzdnezvdmbgag6t7icxeat4

Robust Visual Multi Target Trackers: A Review

Pavan Kumar E, Manojkumar Rajgopal
2018 Indonesian Journal of Electrical Engineering and Computer Science  
The challenges arise due to object motion from frame to frame with a change in appearance, structures, illumination, and occlusion.  ...  In the present scenario number of algorithms and methods are used to track the object in the different scene, a robust visual object tracking remains a critical challenge.  ...  In this model, algorithm use bounding box with linear SVM data set for learning and detection of tracking object.  ... 
doi:10.11591/ijeecs.v12.i1.pp7-16 fatcat:322burlzvvgezbucvnhvpg3v2m
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