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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…Motion estimation is a technique to reduce high information redundancy which exists between successive frames in a video sequences. …”
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New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…These 6 algorithms are divided into 3 main methods namely Method A, Method B, and Method C depending on their search patterns and strategies. …”
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Multilevel optimization for dense motion estimation
Published 2011“…This research has been oriented towards the design of a new technique for fast and reliable dense motion estimation. …”
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Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…Then, various optimized algorithms for the two core processes in the compression, DCT and motion estimation, were reviewed and analyzed. …”
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Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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11
Human upper body pose region estimation
Published 2013“…The tracking the HUB pose is based on the face detection algorithm. Our evaluation was done mainly using 50 images from INRIA Person Dataset.…”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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Autonomous formation flight control of multiple UAVs with motion capture system
Published 2013“…The feasibility of each method of position and attitude estimation system as a decentralized system is presented as a part of this thesis. …”
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Blind motion image deblurring using canny edge detector with generative adversarial networks / Idriss Moussa Idriss
Published 2021“…The proposed combined method has achieved good deblurring with edge-preserving results based on the evaluation metrics used. …”
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Comparative study of 3D reconstruction methods from 2D sequential images in sports
Published 2020“…Then, the methods were tested on a mixed activities sequence from the CMU motion capture database. …”
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An Adaptive Motion Estimation Algorithm for Irregular Motion of Objects
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ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
Published 2015“…Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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Fast adaptive motion estimation search algorithm for H.264 encoder
Published 2012“…Simulation result shows that as compared to previous research, this algorithm achieves up to average 60% reduction in motion estimation time without degrading the video quality.…”
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Crowd behavior monitoring using self-adaptive social force model
Published 2019“…This algorithm is jointly used with Horn-Schunck optical flow as a motion detector for the input video. …”
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