Search Results - (( based estimation method algorithm ) OR ( frames detection using algorithm ))
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1
Drone Based People Counter And Tracking Using Unique Id Using Opencv Python
Published 2020“…This thesis provided a detailed method in implementing the algorithm for face and person recognition by using haar cascade classifier feature detection and contour approximation. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…For both indoor and outdoor scene, the proposed algorithm outperforms the other methods with accuracy 97% and 100%. …”
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Thesis -
3
Pose estimation algorithm for mobile Augmented Reality based on inertial sensor fusion
Published 2021“…After extensive experiments, the validity of the proposed method was superior to the existing vision-based pose estimation algorithms. …”
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Article -
4
Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The solution consists of an algorithm for automatic collection of candidate seed points using efficient grid line searching mechanism and a validation method which uses local geometric and intensity based features as effective validation rules to discriminate between the actual seed point and false alarms. …”
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Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection
Published 2023“…This study explores the use of deep learning techniques for fast and robust hand detection and tracking. …”
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7
Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection
Published 2023“…This study explores the use of deep learning techniques for fast and robust hand detection and tracking. …”
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8
Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle
Published 2017“…Next, SURF algorithm is applied to find the obstacle sizes estimation by searching the connecting feature points in the image frame. …”
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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10
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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11
Human tracking in video surveillance using particle filter
Published 2016“…The filter uses random sample to estimate the possible location of the tracked object in the next immediate frame even in the presence of occlusion. …”
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12
Detection and classification of moving objects for an automated surveillance system
Published 2006“…Moving object is detected by using combination of two frame differencing and adaptive image averaging with selectivity. …”
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13
Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli
Published 2022“…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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14
Crowd behavior monitoring using self-adaptive social force model
Published 2019“…Instead of using any segmentation methods, the motion of particles in each frame is captured by particle advection method. …”
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15
A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset
Published 2014“…In Phase III, the RV cavity region was segmented by generating intensity threshold which was used for once for all frames. Finally, Phase IV is proposed to extract the RV endocardial contour in a complete cardiac cycle using a combination of shape-based contour detection and improved radial search algorithm. …”
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16
HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
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Final Year Project -
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An FPGA based embedded vision system for real-time motion detection
Published 2015“…The system was able to process 10 pixels at one clock cycle to detect object by using only 643 logic blocks.…”
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Proceeding Paper -
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An Algorithm for Vehicle Detection and Tracking
Published 2010“…In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. …”
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19
Depth frame loss concealment for wireless transmission utilising motion detection information
Published 2014“…The methods are able to facilitate a frame copy algorithm and a high correlation of colour and depth frames to conceal depth frame loss. …”
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20
Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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