Search Results - (( motion extraction research algorithm ) OR ( spider optimization based algorithm ))
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Social spider optimisation algorithm for dimension reduction of electroencephalogram signals in human emotion recognition
Published 2018“…Due to some limitations of current heuristics and evolutionary algorithms, this paper proposed a new swarm based algorithm for feature selection method called Social Spider Optimization (SSO-FS). …”
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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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A new search and extraction technique for motion capture data
Published 2008“…Results from the experiments show that matching motion files were successfully extracted from the motion capture library using the new algorithm based on different human body segments.…”
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The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…The proposed algorithm has been compared with the other three famous algorithms, which are Particle Swarm Optimization (PSO), Differential Evolutionary (DE), and Bees Optimization Algorithm (BOA). …”
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Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
Published 2013“…This paper presents an application of artificial neural network for the classification of single channel EMG signal in the context of hand motion detection. Seven statistical input features that are extracted from the preprocessed single channel EMG signals recorded for four predefined hand motions have been used for neural network classifier. …”
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An Algorithm for Vehicle Detection and Tracking
Published 2010“…Median filtering is used for background extraction which is later subtracted from the motion frames for object detection. …”
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Conference or Workshop Item -
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Application of image quality assessment module to motion-blurred wood images for wood species identification system
Published 2019“…If the image is of low quality based on the image quality value obtained, then the image will be deblurred before the feature extraction procedure. A reliable motion deblurring technique, which is based on Lucy–Richardson algorithm, is employed to enhance the motion-blurred images before proceeding to the next stage, which is the feature extraction process. …”
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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. …”
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Conference or Workshop Item -
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Design and performance analysis of artificial neural network for hand motion detection from EMG signals
Published 2013“…The neural network is of backpropagation type, trained by Levenberg-Marquardt training algorithm. Before the classification process, the EMG signals have been pre-processed for extracting some features from them. …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…Results of the applied procedure show that the algorithm is viable to extract object from single background color image and can be used in human gait analysis. © 2006-2016 Asian Research Publishing Network (ARPN).…”
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Human and Object Detection and Interaction Analysis in Video Image Processing
Published 2019“…From a video sequence, the human and objects and their motions are detected through an algorithm process. …”
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Final Year Project -
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…Automated surveillance system has been the subject of much research recently. A completely automated system means a computer will perform the entire task from low level detection to higher level motion analysis. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…Automated surveillance system has been the subject of much research recently. A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…Automated surveillance system has been the subject of much research recently. A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Fuzzy qualitative approach to address uncertainty in human motion analysis / Lim Chern Hong
Published 2015“…Human motion analysis is one of the most active researches in computer vision society nowadays due to its wide spectrum of applications. …”
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Human action recognition using slow feature analysis / Bardia Yousefi
Published 2016“…Episodic observation is required to extract the slowest features. However, fast features of dorsal processing pathway through episodic ventral analysis update the processing of motion information. …”
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Feature extraction: hand shape, hand position and hand trajectory path
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Book Chapter