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26 results for “Motion detection”
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Research ArticleOpen accessIn the abstractImplementation of Mobile Applications and Voice Recognition in an IoT-Based System in the Server Room of PT. Ecocare Indo PasifikRaka Dhaneswara, Alexander Agung Santoso GunawanThe progress made on the Internet of Things (IoT) has given an opportunity to people to have control over their home devices from afar using mobile applications. While PT. Ecocare Indo Pasifik (ecoCare) is still in the first few years of its journey through this new digital transformation era, there are some shortcomings on the way it handles its digital … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Jan 2026 · 1,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractElderly People Fall Detection System Using Skeleton Tracking and RecognitionD. Bansal, Abeer Alsadoon, P.W.C. Prasad et al.The fall detection systems use a variety of technologies like sensors, wearable devices, color camera, thermal camera etc. With the use of Microsoft Kinect camera for non-gaming purposes, depth images have started being utilized for fall detection. Various authors have made an attempt at using Kinect for fall detection in combination with a variety of techniques like ellipse analysis, bounding … …American Journal of Applied Sciences, Vol. 15, Issue 9 · 7 Nov 2018 · 8,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractLiveness Detection from Real user, Printed Pictures and Pictures on Mobile Devices from Low Resolution WebcamHajer Mohamed H Ben Amer, Dr. Leelavathi Rajamanickam, Dr. Anas A. AbboudBiometrics data have emerged as one of the most widely used technologies for validation of identity in various sectors. Nevertheless, spoof biometric data are used by attackers to get access to their targets. Hence, a number of approaches have been initiated to detect these spoofed biometric data. As such, this article proposed a complete methodology for liveness detection using low … …Journal of Computer Science, Vol. 13, Issue 9 · 26 Sep 2017 · 7,692 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,395 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiple Vehicle Tracking using Adaptive Gaussian Mixture Model and Kalman FilterFandy Setyo UtomoBased on data from the Central Statistics Agency (BPS) of the Republic of Indonesia in catalog Crime Statistics in 2014, the number of crimes of theft of motor vehicles has increased since 2010 until 2013. Recorded in 2013 the number reached 42.508 cases of theft. In this study, we made a prototype application using Adaptive Gaussian Mixture Models algorithms and … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 22 Dec 2016 · 7,379 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 · 7,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractShot Detection Using Genetic Edge Histogram and Object Based Video Retrieval Using Multiple FeaturesR. Kanagavalli, K. DuraiswamyAs the usage of multimedia data increasing rapidly, how to get the video data we need efficiently become so important. Recent advances in multimedia technologies allow the capture and storage of video data with relatively inexpensive computers. Problem Statement: However, without appropriate search techniques all these data are hardly usable. Users want to query the content instead of the raw … …Journal of Computer Science, Vol. 8, Issue 8 · 3 Aug 2012 · 6,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Neural Networks in Real-time Face DetectionKevin Curran, Xuelong Li, Neil M. CaughleyAs continual research is being conducted in the area of computer vision, one of the most practical applications under vigorous development is in the construction of a robust real-time face detection system. Successfully constructing a real-time face detection system not only implies a system capable of analyzing video streams, but also naturally leads onto the solution to the problems of … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 7,023 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeart Localization from Magnetic Resonance Images SequenceAhmed Farag, Mahmoud FakhreldinProblem statement: Heart localization is an important step in cardiac Magnetic Resonance Images (MRI) analysis. This study aims to locate the moving heart region from MRI sequence of images. Approach: The idea is to use the motion detection techniques to isolate the heart region from the background image and then apply morphological operations to construct a moving heart region mask. … …Journal of Computer Science, Vol. 8, Issue 4 · 30 Jan 2012 · 6,855 accessesView PDFCite