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Optical Flow Dataset and Benchmark for Visual Crowd Analysis [article]

Gregory Schröder, Tobias Senst, Erik Bochinski, Thomas Sikora
2018 arXiv   pre-print
The performance of optical flow algorithms greatly depends on the specifics of the content and the application for which it is used.  ...  In exhaustive experiments we are able to provide new insight into optical flow for crowd analysis.  ...  Evaluation Metrics To assess the quality of the optical flow we propose to use two types of metrics: i) common optical flow metrics, i.e. average endpoint error (EPE) and percentage of erroneous pixel  ... 
arXiv:1811.07170v1 fatcat:u34u6ndyjnaxjmpxhg6wobpidi

FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation [article]

Duolikun Danier, Fan Zhang, David Bull
2022 arXiv   pre-print
In order to enhance the performance of LPIPS for evaluating interpolated content, we re-designed its spatial feature aggregation step by using the temporal distortion (through comparing optical flows)  ...  In this paper, we present a bespoke full reference video quality metric for VFI, FloLPIPS, that builds on the popular perceptual image quality metric, LPIPS, which captures the perceptual degradation in  ...  The results show that runtime of FloLPIPS is relatively moderate. C. Model Analysis Effectiveness of flow difference weighting.  ... 
arXiv:2207.08119v1 fatcat:l7vohg2erzb3loqk5avntuewna

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving

Serin Varghese, Yasin Bayzidi, Andreas Bar, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico Schmidt, Peter Schlicht, Fabian Huger, Tim Fingscheidt
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
analysis of the proposed metric and observe strong correlations to the supervised mIoU metric; (c) we perform an evaluation of five state-of-the-art networks for semantic segmentation of varying complexities  ...  In this paper, (a) we introduce a metric which does not require segmentation labels for measuring the stability of the predictions of segmentation networks over a series of images; (b) we perform an in-depth  ...  We also thank our colleagues of Architecture and AI Technologies, Automated Driving from Volkswagen Group Automation for the experiments and discussions.  ... 
doi:10.1109/cvprw50498.2020.00176 dblp:conf/cvpr/VargheseBBKLSSS20 fatcat:aqj44btsizagnawk235hqyojiy

Self-Supervised Approach for Facial Movement Based Optical Flow [article]

Muhannad Alkaddour, Usman Tariq, Abhinav Dhall
2021 arXiv   pre-print
The performance of FlowNetS trained on face images surpassed that of other optical flow CNN architectures, demonstrating its usefulness.  ...  in facial expression analysis.  ...  ACKNOWLEDGMENTS This work was supported in part by the American University of Sharjah, FRG17-R44 research grant.  ... 
arXiv:2105.01256v1 fatcat:kdpdlzmuwzablgqsziuuhnt33i

How can we learn (more) from challenges? A statistical approach to driving future algorithm development [article]

Tobias Roß, Pierangela Bruno, Annika Reinke, Manuel Wiesenfarth, Lisa Koeppel, Peter M. Full, Bünyamin Pekdemir, Patrick Godau, Darya Trofimova, Fabian Isensee, Sara Moccia, Francesco Calimeri (+3 others)
2021 arXiv   pre-print
Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner.  ...  Our subsequent method development, tailored to the specific remaining issues, yielded a deep learning model with state-of-the-art overall performance and specific strengths in the processing of images  ...  Finally, thanks to all authors of the ROBUST-MIS challenge manuscript [39] , which served as foundation of this work.  ... 
arXiv:2106.09302v1 fatcat:zfrygtneyvcv7habomxt4pddze

Moving Object Detection for Video Surveillance

K. Kalirajan, M. Sudha
2015 The Scientific World Journal  
Various frame based surveillance metrics are employed to evaluate the proposed approach. Experimental results and comparative study clearly depict the effectiveness of the proposed approach.  ...  In this paper, a novel approach of object detection for video surveillance is presented.  ...  10 The Scientific World Journal Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper (e.g., financial gain).  ... 
doi:10.1155/2015/907469 pmid:25861686 pmcid:PMC4377503 fatcat:wzclsukknbaxdpp2ejh7od7zoq

A qualitative investigation of optical flow algorithms for video denoising [article]

Hannes Fassold
2022 arXiv   pre-print
In this work, we investigate how well optical flow algorithms perform qualitatively when integrated into a state of the art video denoising algorithm. Both classic optical flow algorithms (e.g.  ...  A good optical flow estimation is crucial in many video analysis and restoration algorithms employed in application fields like media industry, industrial inspection and automotive.  ...  Although these metric can serve as a rough guide for choosing a proper optical flow algorithm, they are not able to predict how well an optical flow algorithm performs when integrated in a certain video  ... 
arXiv:2204.08791v1 fatcat:mc44pmp6gngb7ovnjsnd6faide

Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound [chapter]

Qi Duan, Elsa D. Angelini, Auranuch Lorsakul, Shunichi Homma, Jeffrey W. Holmes, Andrew F. Laine
2009 Lecture Notes in Computer Science  
In our previous work, a 4D optical flow based method was developed to estimate dynamic cardiac metrics, including strains anddisplacements, from 4D ultrasound.  ...  This is the first direct validation study of our image analysis method for clinical diagnoses and outcome.  ...  Holmes (Department of Biomedical Engineering, University of Virginia, USA) for performing the canine experiments.  ... 
doi:10.1007/978-3-642-01932-6_23 fatcat:s3bl7ek7e5gkfisn76tu5voyum

A Structural Similarity Metric for Video Based on Motion Models

Kalpana Seshadrinathan, Alan C. Bovik
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
Results are presented that demonstrate the efficacy of our quality metric by comparing model performance against subjective scores on the database developed by the Video Quality Experts Group.  ...  Several objective quality metrics have been proposed for images, but video quality assessment has received relatively little attention and most video quality metrics have been simple extension of metrics  ...  Firstly, optical flow estimation can be performed using the outputs of these bandpass channels.  ... 
doi:10.1109/icassp.2007.366046 dblp:conf/icassp/SeshadrinathanB07 fatcat:rnn27dkiufakpiyucyq7tc6w7y

Optical Flow Based Online Moving Foreground Analysis [article]

Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu
2018 arXiv   pre-print
In this paper, we focus on this problem and address it by constructing an optical flow based moving foreground analysis framework.  ...  As a result, we obtain the instance-level information like the number, location and size of moving objects.  ...  We address the problem of moving foreground analysis by constructing an optical flow based framework.  ... 
arXiv:1811.07256v1 fatcat:vqb3cwc75vb6pe3wzvpgxbvxxe

Automatic Video Shot Change Classification using Optic Flow and Robust Pixel Difference Based Method

Amith Kamath B, Mahesh P S, Meghana Madhusudhan, Rakshith N S
2014 IOSR Journal of VLSI and Signal processing  
Shot change detection is an essential step in video content analysis. The field of Video Shot Detection (VSD) is a well exploited area.  ...  We present a method to detect shots using optic flow, and a method to classify the shot change into Abrupt/Hard cut or Gradual Transition using Robust Pixel Based Method.  ...  Figure 15-18 show the graph of Metric M calculated for a ten frame window at the location of shot change. Table 1 shows the descriptions of the videos used for performance analysis.  ... 
doi:10.9790/4200-04622531 fatcat:lnkqeuisojbzpl6nnmufgs5uqa

Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response

Caroline H. Roney, Nicholas Child, Bradley Porter, Iain Sim, John Whitaker, Richard H. Clayton, Jacob I. Laughner, Allan Shuros, Petr Neuzil, Steven E. Williams, Reza S. Razavi, Mark O'Neill (+5 others)
2021 Frontiers in Physiology  
These PV activation flow pathways may correspond to the presence of drivers in the PV regions.  ...  Clinical data were augmented with a virtual cohort of 100 models.  ...  The pulmonary vein activation flow metric was higher for PVI responder cases than for PVI non-responder cases when the analysis was performed with all electrodes, 90 or 75% of electrodes, although these  ... 
doi:10.3389/fphys.2021.707189 pmid:34646149 pmcid:PMC8503618 fatcat:ycqh4eyqebe2jgv5hl7hggtvye

Accuracy of eight deformable image registration (DIR) methods for tomotherapy megavoltage computed tomography (MVCT) images

Wannapha Nobnop, Hudsaleark Neamin, Imjai Chitapanarux, Somsak Wanwilairat, Vicharn Lorvidhaya, Taweap Sanghangthum
2017 Journal of Medical Radiation Sciences  
Results: The asymmetric transformation with Optical Flow showed the best performance for air-tissue interface areas, with a mean CC and DSC of 0.97 AE 0.03 and 0.79 AE 0.11 respectively.  ...  The symmetric transformation with Optical Flow showed good agreement for tissue-tissue interface areas with a CC of (0.99 AE 0.01) and DSC of (0.89 AE 0.03).  ...  Acknowledgements The authors thank the staff of the Division of Therapeutic Radiology and Oncology, Faculty of Medicine, Chiang Mai University, for supporting this study.  ... 
doi:10.1002/jmrs.236 pmid:28755425 pmcid:PMC5715263 fatcat:47xoonysgbdelcoqwb7ot6n5um

Cholesky Decomposition Based Metric Learning for Video-based Human Action Recognition

Si Chen, Yuanyuan Shen, Yan Yan, Dahan Wang, Shunzhi Zhu
2020 IEEE Access  
Experimental results on the public video dataset show that the proposed method achieves the superior performance compared with several state-of-the-art methods.  ...  Metric learning, which learns a similarity metric, plays an important role in human action recognition. However, learning a full-rank matrix is usually inefficient and easily leads to overfitting.  ...  Then, for different regions, the magnitude and direction of the optical flow gradient are calculated based on the optical flow of pixels in the x and y directions in the region.  ... 
doi:10.1109/access.2020.2966329 fatcat:vkekokypynghhfohktkeihs5y4

Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms

B. Galvin, B. McCane, K. Novins, D. Mason, S. Mills
1998 Procedings of the British Machine Vision Conference 1998  
Evaluating the performance of optical flow algorithms has been difficult because of the lack of ground-truth data sets for complex scenes.  ...  The resulting flow maps are used to assist in the comparison of eight optical flow algorithms using three complex, synthetic scenes.  ...  This paper builds on the the research of Barron et al. [1] . They conducted an empirical analysis of nine optical flow algorithms.  ... 
doi:10.5244/c.12.20 dblp:conf/bmvc/GalvinMNMM98 fatcat:bgqdikys6bekro2i4efmfkwypa
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