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Stacked dense optical flows and dropout layers to predict sperm motility and morphology [article]

Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen
2019 arXiv   pre-print
For modifications of the selected models, we have introduced an additional multi-layer perceptron to overcome the problem of over-fitting.  ...  We use two different inputs: stacked pure frames of videos and dense optical flows of video frames.  ...  The dense optical flow image of stride 1 was generated from two consecutive video frames from a selected location of a video.  ... 
arXiv:1911.03086v1 fatcat:6fiq4v5ggrhcph7i6if532pnme

ReCoNet: Real-time Coherent Video Style Transfer Network [article]

Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu
2018 arXiv   pre-print
Image style transfer models based on convolutional neural networks usually suffer from high temporal inconsistency when applied to videos.  ...  A novel luminance warping constraint is added to the temporal loss at the output level to capture luminance changes between consecutive frames and increase stylization stability under illumination effects  ...  consecutive image frames.  ... 
arXiv:1807.01197v2 fatcat:52uyh3r2jjgkhgmvhrb4yfcboq

Displacement field estimation and image segmentation using block matching enhanced by a neural network

Yong-Sheng Chen, Chiou-Shann Fuh
1996 Spatial Vision  
In this paper, a single-layer feedback neural network model is proposed that enhances block matching, estimates the displacement field, and simultaneously performs image segmentation from consecutive images  ...  The most important aspect of this paper is that image segmentation is performed simultaneously with the displacement-field estimation by the neural-network model.  ...  Computational model In this paper, we put forward a single-layer feedback neural network model that estimates the displacement field and simultaneously performs image segmentation for each pair of consecutive  ... 
doi:10.1163/156856896x00042 fatcat:thmb4g7unnfdrhayyxa57ix3qu

THE APPLICATION OF PYRAMID LUCAS-KANADE OPTICAL FLOW METHOD FOR TRACKING RAIN MOTION USING HIGH-RESOLUTION RADAR IMAGES

Roby Hambali, Djoko Legono, Rachmad Jayadi
2020 Jurnal Teknologi  
This paper discusses the application of Pyramid Lucas-Kanade Optical Flow (PLKOF) method on the rain motion tracking analysis using 150x150m resolution radar image.  ...  One of the promising rainfall nowcasting applications is the extrapolation-based method. Rain motion tracking is a crucial part of the rainfall nowcasting based on this method.  ...  Bobby for their invaluable support of this research.  ... 
doi:10.11113/jurnalteknologi.v83.14494 fatcat:wmupz27bnzaqhn6d2n2y7kvg2m

Gradient sparsity for piecewise continuous optical flow estimation

Junyu Han, Fei Qi, Guangming Shi
2011 2011 18th IEEE International Conference on Image Processing  
To further enhance the process of flame detection, gradient optical flow estimation methods and classification based on feature vectors have to be done. Fig. 2.  ...  OMT utilizes gray scale data of two consecutive images placed at equal footings. Hence, it is symmetrical. OMT takes into account density changes that occur due to the changing area and volume.  ...  In optical flow estimation, the difference between pixels in the current frame and the previous consecutive frame of the image sequence is found.  ... 
doi:10.1109/icip.2011.6116110 dblp:conf/icip/HanQS11 fatcat:bmm4h7o33becdb6r5ackiet6ba

INTRODUCING NOVEL GENERATION OF HIGH ACCURACY CAMERA OPTICAL-TESTING AND CALIBRATION TEST-STANDS FEASIBLE FOR SERIES PRODUCTION OF CAMERAS

M. Nekouei Shahraki, N. Haala
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Furthermore the test-stand enables us to perform many other important optical tests such as stray-light testing, enabling us to evaluate the certain qualities of the camera optical module.  ...  The above criterions imply that it is critical to design test systems which deliver fast and accurate calibration and optical-testing capabilities.  ...  These optical tests provide us with further quality measures of our optical module such as the appearance of optical artefacts or unwanted optical effects such as ghosts in image.  ... 
doi:10.5194/isprsarchives-xl-1-w5-521-2015 fatcat:jsttd5qpbjhl7o5bmiwsxvoyz4

Confocal Scanning Laser Ophthalmoscopy Classifiers and Stereophotograph Evaluation for Prediction of Visual Field Abnormalities in Glaucoma-Suspect Eyes

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, Jiucang Hao, Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski, Michael H. Goldbaum, Pamela A. Sample, Jonathan G. Crowston, Robert N. Weinreb
2004 Investigative Ophthalmology and Visual Science  
Glaucoma-suspect eyes (n ϭ 226) were classified as converts or nonconverts based on the development of repeatable (either two or three consecutive) standard automated perimetry (SAP)-detected abnormalities  ...  Classification techniques applied were HRT classification (HRTC), Moorfields Regression Analysis, forwardselection optimized SVM (SVM fwd) and backward elimination-optimized SVM (SVM back) analysis of  ...  The publication costs of this article were defrayed in part by page charge payment.  ... 
doi:10.1167/iovs.03-1087 pmid:15223803 pmcid:PMC2928388 fatcat:wjp6zoelp5ecdjj6kqhobxfp4q

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior [article]

Jinshan Pan, Haoran Bai, Jinhui Tang
2020 arXiv   pre-print
It first develops a deep CNN model to estimate optical flow from intermediate latent frames and then restores the latent frames based on the estimated optical flow.  ...  The proposed algorithm mainly consists of optical flow estimation from intermediate latent frames and latent frame restoration steps.  ...  Different from the variational model-based methods that warp the consecutive frames to generate blurred frames based on the estimated optical flow, our algorithm warps the adjacent frames into the reference  ... 
arXiv:2004.02501v1 fatcat:cliw5zlcb5fnhbuwrjgg26bgba

Visual Analysis and Recognition of Crowd Behavior by Principal Component Analysis

Hocine Chebi, Dalila Acheli, Mohamed Kesraoui
2021 Algerian journal of signals and systems  
by the optical flow, then calculations of the distance between the matrices of covariance of the distributions of the vectors of movement calculated on the consecutive reinforcements.  ...  The analysis of the human behavior from video is a wide field of the vision by computer.  ...  The video frames are labeled normal or abnormal based on the distance measure between covariance matrices of the distributions of the optical flow vectors computed on consecutive frames.  ... 
doi:10.51485/ajss.v1i2.24 fatcat:h7k264kszfbo7op5uuuvse66aa

Automatic Fast Moving Object Detection in Video of Surveillance System

Pranali A. Pojage, Ajay A. Gurjar
2017 IARJSET  
conferencing, traffic analysis and security.  ...  Over last few years, moving object detection has received much of attraction due to its wide range of applications like video surveillance, human motion analysis, robot navigation, event detection, video  ...  Optical Flow Optical flow approach of moving target detection is based on calculation of optical flow field of image (or video frame).  ... 
doi:10.17148/iarjset.2017.4535 fatcat:wr3k6uckmffb7bnkaczcsl3ywq

FLAME AND SMOKE ESTIMATION FOR FIRE DETECTION IN VIDEOS BASED ON OPTICAL FLOW AND NEURAL NETWORKS

Micky James .
2014 International Journal of Research in Engineering and Technology  
This is a new video based fire detection system that is making use of both flame and smoke features calculated from optical flow vectors created by different optical flow methods for fire detection.  ...  Traditional point based sensors for heat or smoke detection will detect the presence of fire only if the particles produced as a result of combustion reach the sensors.  ...  The main merit is that instead of making use of only flame based analysis for fire detection, the system makes use of smoke based detection in addition, to find fire in situations where the flame based  ... 
doi:10.15623/ijret.2014.0308050 fatcat:g6ngzc4kd5db5o7rd2usesjtby

Real-Time Detection and Tracking of Moving Object

Jianguo Tao, Changhong Yu
2008 2008 Second International Symposium on Intelligent Information Technology Application  
Still real time image based or video based motion detection are hidden area so I want to carry out my work on real time video based detect behaviour of human as per movement of object or vehicle detection  ...  in sense of hybrid.  ...  Using blob analysis the boundary box is bounded on the detected on the image. Then after detected object is tracked using optical flow method. IV.  ... 
doi:10.1109/iita.2008.428 fatcat:nb23cmneqjctjhvhvdtobo54q4

Detection of Wipes and Digital Video Effects Based on a Pattern-Independent Model of Image Boundary Line Characteristics

Kota Iwamoto, Kyoji Hirata
2007 2007 IEEE International Conference on Image Processing  
This model is based on the characteristics of image boundary lines dividing the two image regions in the transitional frames.  ...  This paper proposes detection of wipes and digital video effects (DVEs) in a video sequence based on a new patternindependent model.  ...  Image Boundary Line Extraction Image boundary lines can be distinguished from lines formed by an object in an image based on analysis of optical flow.  ... 
doi:10.1109/icip.2007.4379580 dblp:conf/icip/IwamotoH07 fatcat:uuj7foh4vfgurempfys7fabuv4

Point-constrained optical flow for LV motion detection

Sven Loncaric, Tvrtko Macan, Chin-Tu Chen, Anne V. Clough
2000 Medical Imaging 2000: Physiology and Function from Multidimensional Images  
The method is based on a pointconstrained optical flow algorithm for heart motion estimation. The constrained points are the corresponding point pairs in subsequent images.  ...  The experiments have been performed using ECG-gated MR images of the beating heart. The method has been applied to the image sequence and estimation of the motion field has been computed.  ...  James Duncan for providing the cardiac MR images used in this work.  ... 
doi:10.1117/12.383436 fatcat:4td46lzptvd3vkwtfnc2pxkcyq

Binocular Image Sequence Analysis: Integration of Stereo Disparity and Optic Flow for Improved Obstacle Detection and Tracking

Yingping Huang, Ken Young
2008 EURASIP Journal on Advances in Signal Processing  
These systems normally utilise disparity information extracted from left and right image pairs, but ignore the optic flows able to be extracted from the two image sequences.  ...  The basic idea is to fully make use of information extracted from stereo image sequence pairs captured from a stereovision rig.  ...  The correspondence matching-based techniques detect optic flows by searching for correspondence points between consecutive images. These are, therefore, more suitable for dynamic road scene images.  ... 
doi:10.1155/2008/843232 fatcat:ejzk64nhmna6xpproxrw3v4weu
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