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69 articles for “object detection”
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Research ArticleOpen accessIn the keywordsElderly 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 · 8,212 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetection of a Moving Car Based on Invariant MomentsAbdul Monem Rahma, Nabaa Basil AbdThis paper presents a proposed technique based on Invariant Moments to detect moving cars in front of Autonomous Cars in order to increase safety and reduce road accidents, thus saving lives, which are one of the most important matters in the context of Autonomous Cars. Object detection from a sequence of images is preparatory step but a crucial mission for … …Journal of Computer Science, Vol. 14, Issue 3 · 20 Nov 2017 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCHILD VIDEO DATASET TOOL TO DEVELOP OBJECT TRACKING SIMULATES BABYSITTER VISION ROBOTHanan Aljuaid, Dzulkifli MohamadThis study presents a Child Video Dataset (CVDS) that has numerous videos of different ages and situation of children. To simulate a babysitter’s vision, our application was developed to track objects in a scene with the main goal of creating a reliable and operative moving child-object detection system. The aim of this study is to explore novel algorithms to track … …Journal of Computer Science, Vol. 10, Issue 2 · 16 Nov 2013 · 8,592 accessesView PDFCite
Research ArticleOpen accessIn the keywordsChange Detection Performance in Naturalistic Scenes: The Influence of Visual Working Memory for Identity and Spatial LocationsBonnie L. Angelone, Melissa R. BeckThe present studies examined the roles of identity and spatial working memory in change detection. Observers completed a spatial or identity working memory task concurrently with a change detection task. In the change detection task, participants were presented naturalistic scenes that contained either a color or location change to one object. Concurrently, participants remembered either the colors or locations of … …Current Research in Psychology, Vol. 3, Issue 2 · 5 Jul 2013 · 10,601 accessesView PDFCite
Review ArticleOpen accessIn the keywordsComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,404 accessesView PDFCite
Review ArticleOpen accessIn the keywordsComputer Vision for Reducing Food Waste in an Institutional Canteen: A Literature Review and Performance AnalysisAna Correia, Clara Aidos, João M. L. P. Caldeira et al.Food waste in today's society has been the subject of growing interest and discussion, given its economic, environmental, social, and nutritional implications. Although food waste is present throughout the food supply chain, in developed countries it tends to be higher in the final stages of consumption (e.g., households and food services). This study focuses on institutional canteens, where food waste … …Journal of Computer Science, Vol. 21, Issue 4 · 10 Mar 2025 · 6,332 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Transfer Learning for Mask DetectionZahin Akram, Arifuzzaman Arman, Mohammad Rakib Imtiaz, Syed Athar Bin AmirThe use of masks has become crucial in combating the Coronavirus pandemic. Unfortunately, the regulation of wearing a mask is not being upheld by many citizens which is contributing to the spread of the disease. To aid the efforts of regulations and to maintain safety in public areas, both large like parks or small like public transport, Artificial Intelligent systems … …Journal of Computer Science, Vol. 18, Issue 2 · 3 Mar 2022 · 6,931 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReal Time Object Tracking and Protection: Hybrid Logistics Architecture in Ubiquitous Environments (HLAiUE)Abdul Jawwad Patel, Abeer Alsadoon, P.W.C. Prasad, A. ElchouemiRealtime object security and vehicle tracking have not been successfully implemented in commercial vehicles due to limitations in processing large amount of data and hardware capabilities. This paper aimed to improve the object security, processing power and data storage in a distributed environment. The proposed system (HLAiUE) consists of a three-layer architecture, first layer is used to collect data, second … …American Journal of Applied Sciences, Vol. 15, Issue 8 · 17 Oct 2018 · 7,520 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Multi-Scale Filtering to Initialize a Background Extraction ModelS. H. Davarpanah, Fatimah Khalid, N. A. Lili et al.Problem statement: Probability-based methods which usually work based on the saved history of each pixel are utilized severally in extracting a background image for moving detection systems. Probability-based methods suffer from a lack of information when the system first begins to work. The model should be initialized using an alternative accurate method. Approach: The use of a nonparametric filtering to … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,276 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Effective History-based Background Extraction SystemSeyed Hashem Davarpanah, Fatimah Khalid, Maryam GolchinProblem statement: In many visions-based surveillance systems, the first step is accomplished by detecting moving objects resulted from subtraction of the current captured frame from the extracted background. So, the results of these systems mainly depend on the accuracy of the background image. Approach: In this study, a proposed background extraction system is presented to model the background using a … …Journal of Computer Science, Vol. 8, Issue 7 · 23 May 2012 · 6,998 accessesView PDFCite