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People Tracking in Panoramic Video for Guiding Robots
A guiding robot aims to effectively bring people to and from specific places within environments that are possibly unknown to them. During this... -
Rlm-tracking: online multi-pedestrian tracking supported by relative location map**
The challenge of multi-object tracking stands as a fundamental focus in computer vision research, finding widespread applications in areas such as...
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Device for People Detection and Tracking Using Combined Color and Thermal Camera
This paper presents the developed device created for detection and tracking of people and their faces and temperatures. The solution does not require... -
BLE-based secure tracking system proposal
As communication capabilities of mobile devices continue to advance, ensuring reliability and security has become increasingly crucial. The aerial...
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Tracking of moving human in different overlap** cameras using Kalman filter optimized
Tracking objects is a crucial problem in image processing and machine vision, involving the representation of position changes of an object and...
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A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm
Avoiding obstacles and pedestrians during the movement is a challenge for the visual impaired people. With the advancement of computer vision, some... -
Designing and implementing the people tracking system in the crowded environment using mobile application for smart cities
The tracking system is used to track moving individuals and provide an instant timeline of position information for tracking analysis. People...
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Design of smart operating table based on HCI and virtual visual tracking technology
With the rapid development of domestic manufacturing technology, the continuous improvement of domestic economy and the continuous increase of...
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Simulation of autopilot system based on target tracking algorithm
In recent years, with the increasing demand for security, intelligent video surveillance system has become more and more widely used in national...
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Object tracking method based on edge detection and morphology
With the continuous development of science and technology, intelligent surveillance technology using image processing and computer vision is also...
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Torn Between Love and Hate: Mouse Tracking Ambivalent Attitudes Towards Robots
Robots are a source of evaluative conflict and thus elicit ambivalence. In fact, psychological research has shown across domains that people...
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Fully Onboard Single Pedestrian Tracking on Nano-UAV Platform
Nano-sized unmanned aerial vehicles (UAVs) have been attracting growing attention from both academia and industry with their compact and versatile...
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Exploring the Potential of Webcam-Based Eye-Tracking for Traditional Eye-Tracking Analysis
Traditional eye-tracking systems can be costly and may pose a barrier to entry for researchers interested in studying gaze behavior. In recent years,... -
Analysis of Bilinear Force Tracking Control for Robot Manipulators Under Unknown Environment
This paper presents the analysis of bilinear force/position control (BFC) schemes for the guaranteed force tracking performance of a robot...
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DIEET: Knowledge–Infused Event Tracking in Social Media based on Deep Learning
The rapid expansion of the mobile Internet has led to online social networks becoming an increasingly integral part of our daily lives, this offers a...
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Choice: AI Assisted Intelligent Goal Tracking
It is often the case that people set up elaborate goals but are not able to fully implement them. A “goal” is defined as the progress or familiarity... -
Igtracker: task and instance information gaps in multiple object tracking
Pedestrian multiple object tracking targets to track multiple pedestrian instances in real-time. Recently, the methods based on joint detection and...
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Integrated Vision-Body Sensing System for Tracking People in Intelligent Environments
An integrated sensing architecture and “big data” analytics that leverages real-time human biometric monitoring with state-of-the-art human activity... -
Towards Reliable Identification and Tracking of Drones Within a Swarm
Drone swarms consist of multiple drones that can achieve tasks that individual drones can not, such as search and recovery or surveillance over a...
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Self-supervised multi-object tracking based on metric learning
The current paradigm of joint detection and tracking still requires a large amount of instance-level trajectory annotation, which incurs high...