126   Artículos

 
en línea
Ali Dorosti, Ali Asghar Alesheikh and Mohammad Sharif    
Advancements in navigation and tracking technologies have resulted in a significant increase in movement data within road networks. Analyzing the trajectories of network-constrained moving objects makes a profound contribution to transportation and urban... ver más
Revista: Information    Formato: Electrónico

 
en línea
Julio-Alejandro Romero-González, Diana-Margarita Córdova-Esparza, Juan Terven, Ana-Marcela Herrera-Navarro and Hugo Jiménez-Hernández    
This paper introduces a novel background subtraction method that utilizes texture-level analysis based on the Gabor filter bank and statistical moments. The method addresses the challenge of accurately detecting moving objects that exhibit similar color ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Francisco Javier Moreno Arboleda, Georgia Garani and Simon Zea Gallego    
In this paper, a measure is proposed that, based on the trajectories of moving objects, computes the speed limit rate in each of the cells in which a region is segmented (the space where the objects move). The time is also segmented into intervals. In th... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Tingbo Xie and Xifan Yao    
An approach for object tracking in logistics warehouses based on YOLOv5 and DeepSORT is proposed, which distinguishes humans from goods, and an evaluation system is established for object tracking in logistics warehouse scenarios.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin and Jian-Chang Hong    
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in som... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zhangcai Yin, Yuan Chen and Shen Ying    
Time geography considers that the motion of moving objects can be expressed using space?time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patter... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Haotian You, Yufang Lu and Haihua Tang    
Video object detection is an important research direction of computer vision. The task of video object detection is to detect and classify moving objects in a sequence of images. Based on the static image object detector, most of the existing video objec... ver más
Revista: Information    Formato: Electrónico

 
en línea
Valery Bobkov, Antonina Shupikova and Alexander Inzartsev    
The inspection of condition of underwater pipelines (UPs) based on autonomous underwater vehicles (AUVs) requires high accuracy of positioning while the AUV is moving along to the object being examined. Currently, acoustic, magnetometric, and visual mean... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Nanyu Chen, Anran Yang, Luo Chen, Wei Xiong and Ning Jing    
Spatio-temporal association analysis has attracted attention in various fields, such as urban computing and crime analysis. The proliferation of positioning technology and location-based services has facilitated the expansion of association analysis acro... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Lesia Mochurad, Yaroslav Hladun, Yevgen Zasoba and Michal Gregus    
One of the tasks of robotics is to develop a robot?s ability to perform specific actions for as long as possible without human assistance. One such step is to open different types of doors. This task is essential for any operation that involves moving a ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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