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Combination of Mean Shift of Colour Signature and Optical Flow for Tracking During Foreground and Background Occlusion [chapter]

M. Hedayati, M. J. Cree, J. Scott
2016 Lecture Notes in Computer Science  
A comparison study of the proposed method, with a colour based mean shift tracking proves the significant improvement in accuracy and stability of object tracking.  ...  The proposed model makes use of the stability of sparse optical flow along with the invariant colour property under size and pose variation, by merging the colour property of objects into optical flow  ...  The mean shift [18] is a statical method to find local maxima of any kind of probability distribution. The mean shift algorithm was not originally intended for tracking purposes.  ... 
doi:10.1007/978-3-319-29451-3_8 fatcat:qpegrz2forgifjhafnlusdxypm

A Literature Review on Video Analytics of Crowded Scenes [chapter]

Myo Thida, Yoke Leng Yong, Pau Climent-Pérez, How-lung Eng, Paolo Remagnino
2013 Intelligent Multimedia Surveillance  
We discuss the merits and weaknesses of various approaches for each topic and provide a recommendation on how existing methods can be improved.  ...  This chapter presents a review and systematic comparison of the state of the art on crowd video analysis.  ...  Combinations include colour and contours, Harris, SIFT features [47, 59, 67, 78] ; also Histograms of Oriented Gradients (HOGs) are used along with colour information in [69] ; or Mean Shift and Joint  ... 
doi:10.1007/978-3-642-41512-8_2 fatcat:m45yawffhzgypcn6nsjicrvhkm

Human detection in surveillance videos and its applications - a review

Manoranjan Paul, Shah M E Haque, Subrata Chakraborty
2013 EURASIP Journal on Advances in Signal Processing  
Object detection could be performed using background subtraction, optical flow and spatio-temporal filtering techniques.  ...  , gender classification and fall detection for elderly people.  ...  [43] proposed a simple but effective method for object tracking after full or partial occlusion using shape, colour and texture information even if the colour and textures are the same for the objects  ... 
doi:10.1186/1687-6180-2013-176 fatcat:hucglmedkrffxdvyo4fi7lthqa

A novel framework for motion segmentation and tracking by clustering incomplete trajectories

Vasileios Karavasilis, Konstantinos Blekas, Christophoros Nikou
2012 Computer Vision and Image Understanding  
Numerical results demonstrate the ability of the proposed method to offer more accurate and robust solutions in comparison with other tracking approaches, such as the mean shift tracker, the camshift tracker  ...  In this paper, we present a framework for visual object tracking based on clustering trajectories of image key points extracted from an image sequence.  ...  On the contrary, in the cases of Real4 and Real5 problems, where we deal with articulated objects and occlusion, mean shift and camshift fail to properly track the persons and one of them is lost.  ... 
doi:10.1016/j.cviu.2012.07.004 fatcat:tfgyj6bbbfgznibcnhcfogmtpa

An identity authentication method for ubiquitous electric power internet of things based on dynamic gesture recognition

Pingping Yu, Jincan Yin, Yi Sun, Zheng Du, Ning Cao
2021 International Journal of Sensor Networks (IJSNet)  
In this system, the optical flow method is used to segment and extract the features of the preprocessed dynamic gesture information to obtain the features of the dynamic gesture motion track, and the CHMM  ...  This paper presents a novel algorithm for gesture recognition and identity authentication based on continuous hidden Markov model (CHMM) and optical flow method.  ...  Education Department of Hebei Province, grant number QN2018095. Polytechnic College of Hebei University of Science and Technology.  ... 
doi:10.1504/ijsnet.2021.112889 fatcat:ko45lptm65hptdpjmb4oyjslgi

Visual Tracking Using a Pixelwise Spatiotemporal Oriented Energy Representation [chapter]

Kevin J. Cannons, Jacob M. Gryn, Richard P. Wildes
2010 Lecture Notes in Computer Science  
This paper presents a novel pixelwise representation for visual tracking that models both the spatial structure and dynamics of a target in a unified fashion.  ...  Qualitative and quantitative empirical evaluation on challenging sequences demonstrates that the resulting tracker outperforms several alternative state-of-the-art systems.  ...  For much of the video sequence, both of the MIL tracking windows are following the same individual. On the other hand, MS and IVT cannot surmount the full occlusions caused by the foreground pillar.  ... 
doi:10.1007/978-3-642-15561-1_37 fatcat:vyoikwd55nbormxuu4bnml5ts4

Tracking Noisy Targets: A Review of Recent Object Tracking Approaches [article]

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung
2018 arXiv   pre-print
Multiple levels of additive noise are added to the Object Tracking Benchmark (OTB) 2015, and the precision and success rates of the tracking algorithms are evaluated.  ...  In the second part of this work, we experimentally evaluate tracking algorithms for robustness in the presence of additive white Gaussian noise.  ...  In the colour template, foreground and background regions are computed at previously estimated location.  ... 
arXiv:1802.03098v2 fatcat:2ygcm7gomrgffg3bo6w55kejce

Review of constraints on vision-based gesture recognition for human–computer interaction

Biplab Ketan Chakraborty, Debajit Sarma, M.K. Bhuyan, Karl F MacDorman
2018 IET Computer Vision  
The ability of computers to recognize hand gestures visually is essential for progress in human-computer interaction.  ...  However, gesture recognition is extremely challenging not only because of its diverse contexts, multiple interpretations, and spatio-temporal variations but also because of the complex non-rigid properties  ...  Investigation on the use of Kinect for hand segmentation using depth thresholding; hand tracking using Kalman filters and mean shift clustering or using the NITE body-tracking and hand-tracking module  ... 
doi:10.1049/iet-cvi.2017.0052 fatcat:fs2l3o27vveqjlanldjmziuudi

State of the Art Report on Video-Based Graphics and Video Visualization

R. Borgo, M. Chen, B. Daubney, E. Grundy, G. Heidemann, B. Höferlin, M. Höferlin, H. Leitte, D. Weiskopf, X. Xie
2012 Computer graphics forum (Print)  
We provide a review of techniques for making photo-realistic or artistic computer-generated imagery from videos, as well as methods for creating summary and/or abstract visual representations to reveal  ...  To support this review, we also give a concise overview of the major advances in automated video analysis, as some techniques in this field (e.g. feature extraction, detection, tracking and so on) have  ...  Optical flow and mean-shift segmentation are both lowlevel computer vision techniques which, along with morphological operators, are described by Gooch et al.  ... 
doi:10.1111/j.1467-8659.2012.03158.x fatcat:4puso36pmrg65fqh2lhoodc74u

The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking

Kevin J. Cannons, Richard P. Wildes
2014 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The proposed representation for tracking models both the spatial structure and dynamics of a target in a unified fashion, while simultaneously offering robustness to illumination variations.  ...  Qualitative and quantitative empirical evaluation on a challenging suite of videos demonstrates the strength and applicability of the proposed representation to tracking, as it outperforms other commonly-used  ...  IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/tpami.2013.233 pmid:26353200 fatcat:ba627kpkane6ldzmzfbs5pfzfe

Recognition of Activities of Daily Living with Egocentric Vision: A Review

Thi-Hoa-Cuc Nguyen, Jean-Christophe Nebel, Francisco Florez-Revuelta
2016 Sensors  
However, current systems based on cameras located in the environment present a number of problems, such as occlusions and a limited field of view.  ...  This paper presents a review of the state of the art of egocentric vision systems for the recognition of ADLs following a hierarchical structure: motion, action and activity levels, where each level provides  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s16010072 pmid:26751452 pmcid:PMC4732105 fatcat:okm2fswkjrdzleelae46u3nfna

Taking the Temperature of Sports Arenas [article]

Rikke Gade
2014 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
We would also like to thank the administration of the building Knud Højgaards Hus in Copenhagen and the company Fokustranslatørerne for allowing access to their roof top terrace for us to install the thermal  ...  Acknowledgements We would like to thank Aalborg municipality for support and for providing access to the sports arenas.  ...  and mean shift for tracking.  ... 
doi:10.5278/ fatcat:qudgoqzxc5bavfyib5wfwkiu5y

A Survey on Video-based Graphics and Video Visualization [article]

Rita Borgo, Min Chen, Ben Daubney, Edward Grundy, Gunther Heidemann, Benjamin Höferlin, Markus Höferlin, Heike Jänicke, Daniel Weiskopf, Xianghua Xie
2011 Eurographics State of the Art Reports  
We provide a comprehensive review of techniques for making photo-realistic or artistic computer-generated imagery from videos, as well as methods for creating summary and/or abstract visual representations  ...  To support this review, we also give a concise overview of the major advances in automated video analysis, as some techniques in this field (e.g., feature extraction, detection, tracking and so on) have  ...  Optical flow and mean-shift segementation are both lowlevel computer vision techniques which, along with morphological operators are described by Gooch et al.  ... 
doi:10.2312/eg2011/stars/001-023 fatcat:rpxmj6yn3nb4rpukhlpwzsn5di

On the role and the importance of features for background modeling and foreground detection

Thierry Bouwmans, Caroline Silva, Cristina Marghes, Mohammed Sami Zitouni, Harish Bhaskar, Carl Frelicot
2018 Computer Science Review  
variation, dynamic camera motion, cluttered background and occlusion.  ...  This limitation can be attributed to the lack of systematic investigation concerning the role and importance of features within background modeling and foreground detection.  ...  and Wren (2015) [437] Wavelet Transform (WT) (28) Discrete Wavelet Transform (DWT) (3) Huang and Hsieh (2003) Haberdar and Shah (2013) [193] Local Ternary Pattern (7 variants  ... 
doi:10.1016/j.cosrev.2018.01.004 fatcat:s6j5766emrcuhhwgkrvkuyy6hy

Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches

Mohd Zulkifley, David Rawlinson, Bill Moran
2012 Sensors  
For the second approach, patch matching is done probabilistically by modelling the histograms of the patches by Poisson distributions for both RGB and HSV colour models.  ...  In video analytics, robust observation detection is very important as the content of the videos varies a lot, especially for tracking implementation.  ...  Foreground segmentation and optical flow are two methods of obtaining measurement input without recognizing the tracked object.  ... 
doi:10.3390/s121115638 pmid:23202226 pmcid:PMC3522979 fatcat:gvfijn2yjvfydhhzc5rpogmpee
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