Rotation Adaptive Visual Object Tracking with Motion Consistency
Litu Rout,Siddhartha,Deepak Mishra,Rama Krishna Sai Subrahmanyam Gorthi +3 more
- pp 1047-1055
TLDR
In this paper, the authors investigated the outcome of rotation adaptiveness in visual object tracking and also included various consistencies that turn out to be extremely effective in numerous challenging sequences than the current state-of-the-art.Abstract:
Visual Object tracking research has undergone significant improvement in the past few years. The emergence of tracking by detection approach in tracking paradigm has been quite successful in many ways. Recently, deep convolutional neural networks have been extensively used in most successful trackers. Yet, the standard approach has been based on correlation or feature selection with minimal consideration given to motion consistency. Thus, there is still a need to capture various physical constraints through motion consistency which will improve accuracy, robustness and more importantly rotation adaptiveness. Therefore, one of the major aspects of this paper is to investigate the outcome of rotation adaptiveness in visual object tracking. Among other key contributions, the paper also includes various consistencies that turn out to be extremely effective in numerous challenging sequences than the current state-of-the-art.read more
Citations
More filters
Posted Content
Fast Visual Object Tracking with Rotated Bounding Boxes
Bao Xin Chen,John K. Tsotsos +1 more
TL;DR: A novel algorithm that uses ellipse fitting to estimate the bounding box rotation angle and size with the segmentation(mask) on the target for online and real-time visual object tracking.
Journal ArticleDOI
An adaptive template matching-based single object tracking algorithm with parallel acceleration
TL;DR: This paper proposes an adaptive template matching-based single object tracking algorithm framework to achieve template update online, based on the Faster-RCNN model, and presents a parallel strategy to accelerate the process of template matching.
Book ChapterDOI
WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking
TL;DR: This paper proposes a different approach to regress in the temporal domain, based on weighted aggregation of distinctive visual features and feature prioritization with entropy estimation in a recursive fashion, and provides a statistics based ensembler approach for integrating the conventionally driven spatial regression results and the proposed temporal regression results to accomplish better tracking.
Journal ArticleDOI
RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking
TL;DR: A novel rotation adaptive tracker with motion constraint (RAMC) is proposed to explore how the hybridization of angle and motion information can be utilized to boost SV object tracking from two branches: rotation and translation.
Book ChapterDOI
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking
TL;DR: A robust framework is proposed that offers the provision to incorporate illumination and rotation invariance in the standard Discriminative Correlation Filter (DCF) formulation and supervise the detection stage of DCF trackers by eliminating false positives in the convolution response map.
References
More filters
Proceedings ArticleDOI
Siamese Instance Search for Tracking
TL;DR: It turns out that the learned matching function is so powerful that a simple tracker built upon it, coined Siamese INstance search Tracker, SINT, suffices to reach state-of-the-art performance.
Proceedings ArticleDOI
Convolutional Features for Correlation Filter Based Visual Tracking
TL;DR: The results suggest that activations from the first layer provide superior tracking performance compared to the deeper layers, and show that the convolutional features provide improved results compared to standard hand-crafted features.
Journal ArticleDOI
Robust Visual Tracking and Vehicle Classification via Sparse Representation
Xue Mei,Haibin Ling +1 more
TL;DR: This paper proposes a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework and extends the method for simultaneous tracking and recognition by introducing a static template set which stores target images from different classes.
Proceedings ArticleDOI
Elliptical head tracking using intensity gradients and color histograms
TL;DR: An algorithm that is able to track a person's head with enough accuracy to automatically control the camera's pan, tilt, and zoom in order to keep the person centered in the field of view at a desired size is presented.
Book ChapterDOI
The Visual Object Tracking VOT2016 Challenge Results
Matej Kristan,Ales Leonardis,Jiří Matas,Michael Felsberg,Roman Pflugfelder,Luka Cehovin,Tomas Vojir,Gustav Häger,Alan Lukežič,Gustavo Fernandez,Abhinav Gupta,Alfredo Petrosino,Alireza Memarmoghadam,Alvaro Garcia-Martin,Andres Solis Montero,Andrea Vedaldi,Andreas Robinson,Andy J. Ma,Anton Varfolomieiev,A. Aydin Alatan,Aykut Erdem,Bernard Ghanem,Bin Liu,Bohyung Han,Brais Martinez,Chang-Ming Chang,Changsheng Xu,Chong Sun,Daijin Kim,Dapeng Chen,Dawei Du,Deepak Mishra,Dit-Yan Yeung,Erhan Gundogdu,Erkut Erdem,Fahad Shahbaz Khan,Fatih Porikli,Fatih Porikli,Fei Zhao,Filiz Bunyak,Francesco Battistone,Gao Zhu,Giorgio Roffo,Gorthi R. K. Sai Subrahmanyam,Guilherme Sousa Bastos,Guna Seetharaman,Henry Medeiros,Hongdong Li,Honggang Qi,Horst Bischof,Horst Possegger,Huchuan Lu,Hyemin Lee,Hyeonseob Nam,Hyung Jin Chang,Isabela Drummond,Jack Valmadre,Jae-chan Jeong,Jaeil Cho,Jae-Yeong Lee,Jianke Zhu,Jiayi Feng,Jin Gao,Jin-Young Choi,Jingjing Xiao,Ji-Wan Kim,Jiyeoup Jeong,João F. Henriques,Jochen Lang,Jongwon Choi,José M. Martínez,Junliang Xing,Junyu Gao,Kannappan Palaniappan,Karel Lebeda,Ke Gao,Krystian Mikolajczyk,Lei Qin,Lijun Wang,Longyin Wen,Luca Bertinetto,Madan Kumar Rapuru,Mahdieh Poostchi,Mario Edoardo Maresca,Martin Danelljan,Matthias Mueller,Mengdan Zhang,Michael Arens,Michel Valstar,Ming Tang,Mooyeol Baek,Muhammad Haris Khan,Naiyan Wang,Nana Fan,Noor M. Al-Shakarji,Ondrej Miksik,Osman Akin,Payman Moallem,Pedro Senna,Philip H. S. Torr,Pong C. Yuen,Qingming Huang,Qingming Huang,Rafael Martin-Nieto,Rengarajan Pelapur,Richard Bowden,Robert Laganiere,Rustam Stolkin,Ryan Walsh,Sebastian B. Krah,Shengkun Li,Shengping Zhang,Shizeng Yao,Simon Hadfield,Simone Melzi,Siwei Lyu,Siyi Li,Stefan Becker,Stuart Golodetz,Sumithra Kakanuru,Sunglok Choi,Tao Hu,Thomas Mauthner,Tianzhu Zhang,Tony P. Pridmore,Vincenzo Santopietro,Weiming Hu,Wenbo Li,Wolfgang Hübner,Xiangyuan Lan,Xiaomeng Wang,Xin Li,Yang Li,Yiannis Demiris,Yifan Wang,Yuankai Qi,Zejian Yuan,Zexiong Cai,Zhan Xu,Zhenyu He,Zhizhen Chi +140 more
TL;DR: The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.