Search Results - (( based detection method algorithm ) OR ( frames detection method algorithm ))
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Depth frame loss concealment for wireless transmission utilising motion detection information
Published 2014“…Two concealment methods, namely Decision Making based on Pixel Value (DM-PV) and Depth Frame Concealment based on Motion Detection (DFC-MD) are proposed to conceal the depth frame loss in the 3D video transmission. …”
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Thesis -
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Automated threshold detection for object segmentation in colour image
Published 2016“…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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Fast shot boundary detection based on separable moments and support vector machine
Published 2021“…Thus, in this paper, a balance between detection accuracy and speed for SBD is addressed by presenting a new method for fast video processing. …”
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Enhanced and effective parallel optical flow method for vehicle detection and tracking
Published 2016“…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Parallel Optical Flow method based on Lucas-Kanade algorithm. …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…To accomplish the purpose of tracking a target, traditional approaches first perform the detection process and then track the target. However, such methods necessitate a constant false-alarm rate system that detects the whole frame obtained at the moment. …”
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Drone Based People Counter And Tracking Using Unique Id Using Opencv Python
Published 2020“…The algorithm is developed so that it is capable to detect various objects by applying a bounding box on the frame image. …”
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Monograph -
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Image processing based vehicle detection and tracking method
Published 2014“…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Gaussian mixture model and blob detection methods. …”
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Overhead view based person counting using deep learning
Published 2022“…In conventional video surveillance systems, most of the person detection methods are based on frontal view, which may have lower accuracy stemming from the occlusion problem. …”
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Final Year Project / Dissertation / Thesis -
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…Specifically, the objectives of this thesis are (i) to develop an image registration technique based on multigraph matching, (ii) to detect occluded objects through exploration of candidate object correspondences in longer frame sequences, and (iii) to develop a robust graph coloring algorithm for multiple moving object detection under different transformations. …”
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Detection of micro emboli using signal energy and discrete fourier transform / Basil Mathew Panamkuttiyil
Published 2011“…Conventional detection method is used and it is compared with the results obtained using algorithm to check the accuracy. …”
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Analysis of Motion Detection using Social Force Model
Published 2013“…This paper presents a method for the detection of abnormality in crowded scenes based on Social Force Model. …”
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Conference or Workshop Item -
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An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. …”
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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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A fuzzy approach for early human action detection / Ekta Vats
Published 2016“…Most existing methods deal with the detection of an action after its completion. …”
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Thesis -
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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. A novel algorithm is proposed by combining the Kernelized Correlation Filter (KCF) tracker with the Single-Shot Detection (SSD) method. …”
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Robust vision-based multiple moving object detection and tracking from video sequences
Published 2018“…In the detection of object of each frame, pixel difference is calculated with respect to the reference background frame for the detection of an object which is only suitable for any ideal static condition with the consideration of lights from the environment. …”
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Moving detection using cellular neural network (CNN)
Published 2008“…Previous motion-based moving object detection approaches often use background subtraction and inter-frame difference or three-frame difference, which are complicated and takes long time. …”
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Undergraduates Project Papers -
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Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
Published 2019“…This paper discussed about the implementation of Kanade-Lucas-Tomasi (KLT) algorithm for automatic detection of the mitral valve in video frames. …”
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