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A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method
Published 2018“…Therefore, to overcome the several problems associated with the object detection method, a new approach in Particle Swarm Optimization (PSO) algorithm for optimal search solution as an alternative method to detect of object tracking quickly, precisely and accurately. …”
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Particle Swarm Optimization algorithm for facial emotion detection
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…Both designs can support VBSME of 720×480 resolution with 30 frames per second (fps), two reference frames and [-16, 15] search range at a clock frequency of 414 MHz with 29.28 K and 31.5 K gates, respectively. …”
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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An optimal design of moving objects tracking algorithm on FPGA
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A new stepsize for gradient method via weak secant equation
Published 2007Get full text
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Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
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Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264
Published 2010“…To solve the above difficulties, we propose several optimization techniques in both algorithm and architecture levels. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Full search (FS), three step search (TSS), new three step search (NTSS), diamond search (DS) and hexagon based search (HS) are the most well known block-matching algorithm. …”
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Book Chapter -
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HSV-template matching with MEESPSO algorithm for human tracking in a crowded environment
Published 2024“…To address these issues, we introduced a new approach combining HSV-template matching with the MEESPSO algorithm. In this approach, HSV-template matching continuously detects the target object in sequence images, while the Midrange Exploration Exploitation Searching Particle Swarm Optimization (MEESPSO) algorithm searches for the target location in the frames. …”
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Video Tracking System Using Midrange Exploration Exploitation Searching-Particle Swarm Optimization (MEESPSO) in handling occlusion and similar appearance due to crowded environmen...
Published 2021“…Besides, the process of object tracking in an individual frame is also challenging due to the problems such as occlusion, crowded environment, and similar appearance Therefore, a Midrange Exploration Exploitation Searching Particle Swarm Optimization (MEESPSO) algorithm with color-shape feature pattern matching methods was introducing to address the problem of the similar appearance or color that comes close to target object in crowded environment, and the presence of occlusion problem cause motion of the crowded object or the camera views. …”
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Multimodality registration of two-dimensional echocardiography and cardiac CT for mitral valve diagnosis and surgical planning
Published 2024journal::journal article -
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2D to 3D fusion of echocardiography and cardiac CT for TAVR and TAVI image guidance
Published 2024journal::journal article -
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Multimodality registration of two-dimensional echocardiography and cardiac CT for mitral valve diagnosis and surgical planning
Published 2024“…For spatial registration, an intensity-based normalized mutual information method was applied with a pattern search optimization algorithm to produce an interpolated cardiac CT image. …”
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Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
Published 2024thesis::doctoral thesis -
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Therefore, by considering tracking as an optimisation problem, the proposed SwATrack algorithm searches for the optimal distribution of motion model without making prior assumptions, or prior learning of the motion model. …”
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Development of a registration framework for echocardiography and computed tomography cardiovascular image fusion / Azira Khalil
Published 2018“…For the spatial registration, an intensity-based normalized mutual information (NMI) method is applied with pattern search optimization algorithm to produce an interpolated cardiac CT image. …”
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