Search Results - "optical flow algorithm"
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The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…Initially, a motion recognition model based on STN and Lucas–Kanade optical flow algorithm optimization was constructed. The COCO-WholeBody Dataset was utilized as the training set for the model. …”
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An evaluation of optical flow algorithms for crowd analytics in surveillance system
Published 2017“…The implementation of optical flow algorithms is investigated and an evaluation of those techniques is provided qualitatively as well as quantitatively. …”
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The analysis of facial feature deformation using optical flow algorithm
Published 2019“…This paper presents the study of facial feature deformation for each facial expression by using an optical flow algorithm and segmented into three different regions of interest. …”
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A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
Published 2015“…To solve this issue, we have proposed a combination of physiology-based and optical flow algorithm to extract vascular network from the face. …”
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Motion detection using Horn-Schunck optical flow
Published 2012“…This system is design to detect motion in a crowd using one of the optical flow algorithms, Horn-Schunck method. By performing some appropriate feature extraction techniques, this system allows us to achieve better results in detecting motion and determining the velocity of that motion in order to analyze the human behaviour based on its velocities. …”
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Conference or Workshop Item -
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Velocity Field Measurement of a Round Jet using Quantitative Schlieren
Published 2011“…The deflection vector estimation was carried out using phase based optical flow algorithms. The density field is further exploited to extract the axial and radial velocity vectors with the aid of continuity and energy equations. …”
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Hardware architecture of OFCE-HS for hardware implementation
Published 2011“…Optical flow algorithm proposed by Horn and Schunck (OFCE-HS) in 1981 was the first technique and one of the best performers for motion estimation. …”
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Passive Two-Camera System to Generate a Depth Map of a Scene and Depth Estimation using Optical Flow Techniques.
Published 2003“…Matlab scripts implementing optical flow algorithms were written. The optical flow for a motion sequence was computed and the vector field that shows both the direction and magnitude of the corresponding motion displayed.…”
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Final Year Project -
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Concentration measurement of injected gaseous fuel using quantitative schlieren and optical tomography
Published 2010“…The flow field which is located between the camera and the background pattern changes the intensity value of the background points in the transfer medium. The optical flow algorithm, which is used to measure the deflection vectors in the background due to the change in index of refraction, is modified to consider the change in intensity of the background image due to the flow field. …”
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Citation Index Journal -
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Implementing low level features for human aggressive movement detection
Published 2015“…This research propose an approach to figure out human aggressive movements using Horn-Schunck optical flow algorithm in order to find the flow vector for all video frames. …”
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Real-time system for facial emotion detection using GPSO algorithm
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Working Paper -
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Aggressive movement detection using optical flow features base on digital & thermal camera
Published 2017“…Previous research proposed an approach to figure out human aggressive features using Horn-Schunck optical flow algorithm in order to find the flow vector for all video frames using digital camera only. …”
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Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
Published 2015“…Acknowledging the importance of this facial assessment, this research was conducted to develop an initial assessment methodthat can classify normal and patient subjects based on facial motion analysis using Optical Flow algorithm as well as categorizing the severity of patient into six levels according to House-Brackmann (I-TB) system. …”
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Thesis -
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QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW
Published 2011“…The results showed that for a transparent gas jet all the tested optical flow algorithms worked well. However the proposed model gave better results for BOS images taken through natural gas flames and smoke from a fog generator. …”
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