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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...
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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 ...
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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.
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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...
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Abeer Abdulaziz AlArfaj and Hanan Ahmed Hosni Mahmoud
Moving object tracking techniques using machine and deep learning require large datasets for neural model training. New strategies need to be invented that utilize smaller data training sizes to realize the impact of large-sized datasets. However, curren...
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Madan Lal, Shadi Khan Baloch, Shoaib Rehman Soomro
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We propose an integrated 3D image capture and display system using a transversely moving camera, regular 2D display screen and user tracking that can facilitate the multi-view capture of a real scene or object and display the captured perspective views i...
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Yair González-Baldizón, Madaín Pérez-Patricio, Jorge Luis Camas-Anzueto, Oscar Mario Rodríguez-Elías, Elias Neftali Escobar-Gómez, Hector Daniel Vazquez-Delgado, Julio Alberto Guzman-Rabasa and José Armando Fragoso-Mandujano
Object tracking is the process of estimating in time N the location of one or more moving element through an agent (camera, sensor, or other perceptive device). An important application in object tracking is the analysis of animal behavior to estimate th...
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David S. Lamb, Joni Downs and Steven Reader
Finding clusters of events is an important task in many spatial analyses. Both confirmatory and exploratory methods exist to accomplish this. Traditional statistical techniques are viewed as confirmatory, or observational, in that researchers are confirm...
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Debojit Biswas, Hongbo Su, Chengyi Wang and Aleksandar Stevanovic
Speed detection of a moving object using an optical camera has always been an important subject to study in computer vision. This is one of the key components to address in many application areas, such as transportation systems, military and naval applic...
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Praveen Mishra,G.S Prajapati
In this paper, we propose a new tracking method that uses Gaussian combination Model (GCM) and PCA-GCM approach for traffic object tracking. The GCM approach consists of three different Gaussian distributions, the average, standard deviation and weight r...
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