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53 articles for “object detection and tracking”
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Implementation of Kalman Filter Using TDC and PLL for Object Detection and Tracking in Signal Processing
Abstract: The measurement uncertainty of GPS receivers is dependent on a wide range of external factors, including receiver clock precision, thermal noise, atmospheric influences, and minute variations in satellite positions. Estimating hidden states precisely and accurately in the face of uncertainty is one of the main problems facing tracking and control systems. Among the most significant and widely used estimate methods is the Kalman Filter. It uses imprecise and erratic measurements …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 38–47 Read article
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Real-Time Object Detection and Tracking in Traffic Surveillance: Implementing Algorithms That Can Process Video Streams for Immediate Traffic Monitoring
Abstract: The rapid growth in urban development and traffic congestion calls for adopting high standards of traffic surveillance systems for monitoring. This paper reviews the current advancement and future trends of real-time object detection and tracking technology and its implications for traffic surveillance. Conventional approaches to traffic monitoring can provide more or less accurate data, but they are not easily scalable and cannot cope with rapidly changing conditions typical within urban …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 18–39 Read article
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Abandoned Object Detection via Temporal Consistency Modeling for Visual Surveillance
Abstract: This paper introduces a successful approach for distinguishing abandoned luggage in surveillance recordings. We join short- and long-term foundation models to concentrate on closer view of objects, where every pixel in an information picture is named a 2 bit code. In this manner, we acquaint a structure with recognized static frontal areas in light of the worldly move of code designs, and to figure out if the applicant districts contain …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 1–6 Read article
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Enhancing Road Safety with the Latest Breakthrough: Real-time Vehicle Classification, Counting, and Speed Estimation Using YOLOv8n and Deep SORT Algorithm
Abstract: The real-time vehicle classification, counting, and speed estimation system based on YOLOv8n is an important tool for monitoring traffic flow on highways. However, because they are distinct objects from their surroundings, it is still difficult to detect them, which has an impact on how accurate vehicle counts are. To tackle this concern, this paper suggests the implementation of a vision-centric system for real-time vehicle monitoring and identification. The approach involves …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 10–18 Read article
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Raspberry Pi-Based Real-Time Object Recognition for Smart Item Recovery
Abstract: In today’s fast-paced world, individuals often lose valuable time searching for misplaced items such as keys, phones, and remote controls—an estimated 2.5 days per year. This paper introduces a cost-effective, computer vision-based system that helps users efficiently locate everyday objects. The system utilizes a 1080p camera and the YOLO (You Only Look Once) object detection algorithm to enable accurate, real-time object recognition. Designed for practical usability, it stores detected object …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 28–36 Read article
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Modified Optical Flow Morphology for Multiple-Object Tracking with Autonomous Driving Applications
Abstract: In this study we have presented a real-time applicable multiple object tracking algorithm for autonomous driving applications. The proposed method is based on the modified morphology of the optical flow technique. Here the method allows the non-prior training of optical flow constraints for the detection of the objects. Additionally, it let the system execute itself in parallel rather than those sequential computing object tracking algorithms giving huge computing time for …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 1–7 Read article
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Raspberry Pi Based Tactical Autonomous Surveillance System
Abstract: In the ever-evolving realm of security and surveillance, the need for autonomous systems capable of operating in challenging environments has become increasingly evident. The Raspberry Pi-Based Tactical Autonomous Surveillance and Self-Destruction System addresses this need by combining advanced sensor technology, robust communication capabilities, and a self-destruction mechanism to provide a comprehensive security solution. This project proposes a Raspberry Pi-based tactical autonomous surveillance system that can be used to monitor and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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OpenCV, AI, and Haar Cascade File: A Review
Abstract: Real-time image processing applications using OpenCV encompass a diverse and crucial array of tasks in modern technology. OpenCV's robust capabilities enable the implementation of object detection and tracking, which are vital for surveillance systems to monitor and analyze activities in real time. In the realm of security, face recognition technology, powered by OpenCV, provides accurate and efficient identification and authentication, enhancing safety measures. Gesture recognition, another significant application, facilitates intuitive …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 39–46 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Video Surveillance and Object Tracking: A Survey
Abstract: The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 15–23 Read article
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Video Anomaly Detection using Kalman Based Support Vector Technique
Abstract: AbstractThe digital video processing technology has boomed since last many years. The video processing is done using sum of absolute differences and with the image processing block set. We first calculate motion vectors between successive frames and use them to reduce redundant information. The method uses optical flow algorithm to calculate changes in the intensity of the pixels of the images. Median filtering is used for background extraction which is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 4–11 Read article
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A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
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Online Assessment and Proctoring for Candidate Recruitment at Workplace
Abstract: In the present world, human proctoring is the most important approach to evaluation, by either providing the supervisor to visit an examination center or supervising them observably and acoustically while exam using a webcam; however, such methods are manual and costly. So, we aim to develop an automated proctoring system to detect an extensive variety of cheating behavior during an online assessment exam. The system requirement includes a working webcam …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 30–37 Read article
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Cyclist Safety Enhancement: A Multi-Modal Hazard Detection System
Abstract: This study presents a multi-modal hazard detection system to enhance cyclist safety in urban environments. Lever- aging a combination of computer vision, object tracking, and predictive modeling, the system offers a comprehensive approach to identifying and mitigating potential risks. Key contributions include improved depth estimation through object size priors, multi-class tracking utilizing KCF and Brisk, and a novel recurrent neural network architecture for predicting bicycle movement. The system’s collision detection …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 35–83 Read article
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Surveillance Patrol Robot for People Tracking in Indoor Environments
Abstract: There is a great challenge that a mobile robot reliably and continuously tracks a specific person in indoor environments. In this paper, a novel method is presented, which can effectively recognize and reliably track a target person based on mobile robot vision. Such a robot is equipped with a camera which senses a moving object and starts tracking the object. The on-board camera develops a computer vision system for detection …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 17–23 Read article
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Missile Tracking, Detection and Firing System
Abstract: The aim of this paper is to plan and build programmed missile tracking and detection framework. This framework is intended to distinguish the object (rocket) moving in different directions. The target terminating framework moves consequently toward rocket and fires it after fixing the target. This framework comprises of an intelligent sonar based tracking framework that persistently screens the target. After identifying the target, it sends the location to a central …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 1, 2016 · pp. 1–6 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Guardian of the Sky: Drone Detection and Jamming Technology
Abstract: India has reported remarkable growth in drones in the past ten years for both commercial and defense uses that led to extremely intricate problems. Systems operate as the major onset of the risks involved that might be associated with drone operations. This article provides a comprehensive evaluation of counter-drone systems, with a particular focus on two fundamental aspects: radar targeting, tracking, and other technologies. The main objective of the study …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 19–25 Read article
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YOLOv8 in Focus: A Review of its Application in Driver Monitoring Systems
Abstract: This research presents a novel Driver Monitoring System (DMS) that utilises Convolutional Neural Networks (CNNs) to achieve remarkable results. Specifically, the YOLOv8 (You Only Look Once version 8) detection technique is used. The main goal is to increase road safety by using cutting-edge computer vision techniques to analyse driver behaviour in real-time. The YOLOv8 detection method, a cutting-edge CNN model renowned for its precision and effectiveness in object recognition, is …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 35–40 Read article