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14 results for “Motion Estimation”
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Research ArticleOpen accessPhrase in the titleMotion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video CodingShilpa P. Metkar, Sanjay N. TalbarProblem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,326 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSimplified Block Matching Algorithm for Fast Motion Estimation in Video CompressionM. Ezhilarasan, P. ThambiduraiBlock matching motion estimation was one of the most important modules in the design of any video encoder. It consumed more than 85% of video encoding time due to searching of a candidate block in the search window of the reference frame. To minimize the search time on block matching, a simplified and efficient Block Matching Algorithm for Fast Motion … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,041 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSingle Step Optimal Block Matched Motion Estimation with Motion Vectors Having Arbitrary Pixel PrecisionsCharlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Saverio Giovanni Blasi et al.Problem statement: This study derives the optimal motion vector with arbitrary pixel precisions in a single step. Approach: A non-linear block matched motion model was proposed. Based on the proposed non-linear block matched motion model, the optimal motion vector which minimizes the mean square error was solved analytically in a single step via a gradient approach. Results: The mean square … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 12 Jan 2012 · 8,201 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHuman Synergy Based Analysis to Control of Rehabilitation Robot for Adaptive AssistanceGyanendra Nath TripathiAdaptive assistance is needed to support mobility of disabled person due to weakened muscles and loss of joint control. Assistive robot requires coordinated motion trajectory of its joint, similar to human joint trajectory. A robot trajectory planning mechanism, based on comparative analysis between robot trajectory and human joint trajectory data is important to find coordinated trajectory for assistive robot joint. … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 8 Oct 2025 · 3,052 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTRACKING THE POSITION OF MULTIPLE HUMAN GESTURES USING CONTOUR MAPPING ALGORITHMT. S. Arulananth, T. Jayasingh, S. RaviThis study relates to a method for determining the position variation (for example a moving object, facial gesture tracking) using markers. The movement is determined based on the periodic frames captured using a camera. The experimental results show that this algorithm can accurately segment human movements from complex background and can greatly reduce the computational workload with less storage memory, … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,503 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Method to Track Line Segment in Sequence of Images Using Only its SlopeS. Ait Kaci Azzou, S. LarabiIn this paper, we present a novel approach to track a line segment in the sequence of images obtained by camera in motion. We use the slope of segment as feature to track. The proposed method is based only on the formalism of the slope of the segment. We use the definition of the projection of points and the relation … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction of Sit-to-Stand Transition Using Vision-Based Pose EstimationAchmad Rizal, Bayu Erfianto, Sugondo Hadiyoso, IstiqomahSit-to-Stand Transition (STS) and vice versa are important indicators of independence and physical health. For normal people, this movement is easy to do but can be difficult for people who have health problems, such as those who have had an injury or stroke. Sit-to-stand assessments can be used to detect spinal disorders. However, spinal kinematic measurements require special instrumentation and … …Journal of Computer Science, Vol. 21, Issue 3 · 21 Feb 2025 · 6,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedded Architecture for Object Tracking using Kalman FilterAhmad Abdul Qadir Al RababahIntelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents … …Journal of Computer Science, Vol. 12, Issue 5 · 18 May 2016 · 7,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractFragment-based Visual Tracking with Multiple RepresentationsJunqiu Wang, Yasushi YagiWe present a fragment-based tracking algorithm that considers appearance information characterized by a non-parametric distribution and spatial information described by a parametric representation. We segment an input object into several fragments based on the appearance similarity and spatial distribution. Spatial distribution and appearance are important for distinguishing different fragments. We employee such information for separating an object from its background: … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 5 Jan 2016 · 7,887 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtended Kalman Filter versus Newton-Lowe's Method for Robot Pose EstimationMohammad Ehab RagabIn this work, we study the pose estimation problem of anautonomous mobile robot. Particularly, we compare the Extended Kalman Filter (EKF) to Lowe's method based on the iterative Newton's method for solving a system of nonlinear equations. Although the EKF is recursive which renders it suitable for the real-time problem at hand, Lowe's method has much less dimensionality. This is … …Journal of Computer Science, Vol. 11, Issue 7 · 5 Nov 2015 · 6,937 accessesView PDFCite