|
|
|
Haojun Luo and Chih-Yung Wen
Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) are commonly used for various purposes, and their cooperative systems have been developed to enhance their capabilities. However, tracking and interacting with dynamic UAVs poses several...
ver más
|
|
|
|
|
|
Stefan Hensel, Marin B. Marinov and Raphael Panter
In recent years, the advancement of micro-aerial vehicles has been rapid, leading to their widespread utilization across various domains due to their adaptability and efficiency. This research paper focuses on the development of a camera-based tracking s...
ver más
|
|
|
|
|
|
Shengping Wen, Yue Yuan and Jingfu Chen
The preliminary sorting of plastic products is a necessary step to improve the utilization of waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme based on deep learning is proposed in this paper for a waste plast...
ver más
|
|
|
|
|
|
Ye-Jiao Mao, Andy Yiu-Chau Tam, Queenie Tsung-Kwan Shea, Yong-Ping Zheng and James Chung-Wai Cheung
Falls are a major problem in hospitals, and physical or chemical restraints are commonly used to ?protect? patients in hospitals and service users in hostels, especially elderly patients with dementia. However, physical and chemical restraints may be une...
ver más
|
|
|
|
|
|
Diogo Mendes, Simão Correia, Pedro Jorge, Tomás Brandão, Patrícia Arriaga and Luís Nunes
This study presents a trajectory-based person re-identification algorithm, embedded in a tool to detect and track customers present in a large retail store, in a multi-camera environment. The customer trajectory data are obtained from video surveillance ...
ver más
|
|
|