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Xiaoyue Luo, Yanhui Wang, Benhe Cai and Zhanxing Li
Previous research on moving object detection in traffic surveillance video has mostly adopted a single threshold to eliminate the noise caused by external environmental interference, resulting in low accuracy and low efficiency of moving object detection...
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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...
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Diana Kalita and Pavel Lyakhov
The task of determining the distance from one object to another is one of the important tasks solved in robotics systems. Conventional algorithms rely on an iterative process of predicting distance estimates, which results in an increased computational b...
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Angona Biswas,Sabrina Abedin,Md. Ahasan Kabir
Pág. 99 - 111
Background: In its early development, radar (radio detection and ranging) was primarily used by the navy, the military, and the aviation services, as well as space organizations for security and monitoring purposes. Nowadays, the demand of radar is expan...
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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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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...
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Tianming Yu, Jianhua Yang and Wei Lu
Background subtraction plays a fundamental role for anomaly detection in video surveillance, which is able to tell where moving objects are in the video scene. Regrettably, the regular rotating pumping unit is treated as an abnormal object by the backgro...
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Martin Knura, Florian Kluger, Moris Zahtila, Jochen Schiewe, Bodo Rosenhahn and Dirk Burghardt
With cities reinforcing greener ways of urban mobility, encouraging urban cycling helps to reduce the number of motorized vehicles on the streets. However, that also leads to a significant increase in the number of bicycles in urban areas, making the que...
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Fan Zhao, Renjie Wei, Yu Chao, Sidi Shao and Cuining Jing
Flying bird detection has recently attracted increasing attention in computer vision. However, compared to conventional object detection tasks, it is much more challenging to trap flying birds in infrared videos due to small target size, complex backgrou...
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Ekaterina V. Burdanova,Evgeniy G. Zhilyakov,Ivan I. Oleynik,Aleksandr V. Mamatov,Aleksandr N. Nemtsev
The task of stationary and moving object detection against the background of the underlying surface (earth) by radar means becomes relevant. A decision rule is being developed to detect objects against the background of the earth surface using the polari...
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Amith. R,V.N. Manjunath Aradhya
Pág. 62 - 75
Detection and tracking of moving objects in video is essential for many computer vision applications and it is considered as a challenging research issue due to dynamic changes in background, illumination, object size and shape. Many traditional algorith...
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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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Xiaoyu Wang, Hengyou Wang, Changlun Zhang, Qiang He and Lianzhi Huo
Object detection plays an important role in safety monitoring, quality control, and productivity management at construction sites. Currently, the dominant method for detection is deep neural networks (DNNs), and the state-of-the-art object detectors rely...
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Ruslan Vorobyev
Pág. 60 - 67
In this paper, the task is to obtain informative data using video analytic approaches based on computer vision and deep neural networks, as well as their further analytical evaluation in order to automate the process of calculating traffic in Moscow?s de...
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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 ...
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Dessyana Kardha,Budhi Sumboro,Yunius Arsita
Pág. HAL. 53 - 61
The current technological developments so rapidly, as well as the development of electronics technology. Robotics is a proof of human civilization that progresses from time to time. The shape of the robot is not just a form that resembles a human or a ce...
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Yurong Yang, Huajun Gong, Xinhua Wang and Peng Sun
We propose a robust approach to detecting and tracking moving objects for a naval unmanned aircraft system (UAS) landing on an aircraft carrier. The frame difference algorithm follows a simple principle to achieve real-time tracking, whereas Faster Regio...
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Yurong Yang, Huajun Gong, Xinhua Wang and Peng Sun
We propose a robust approach to detecting and tracking moving objects for a naval unmanned aircraft system (UAS) landing on an aircraft carrier. The frame difference algorithm follows a simple principle to achieve real-time tracking, whereas Faster Regio...
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Neny Kurniati, Achmad Basuki, Dadet Pramadihanto
Pág. 1 - 18
Motion capture has been developed and applied in various fields, one of them is dancing. Remo dance is a dance from East Java that tells the struggle of a prince who fought on the battlefield. Remo dancer does not use body-tight costume. He wears a few c...
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Surya Michrandi Nasution, Emir Husni, Kuspriyanto Kuspriyanto and Rahadian Yusuf
Indonesia has the third highest number of motorcycles, which means the traffic flow in Indonesia is heterogeneous. Traffic flow can specify its condition, whether it is a free flow or very heavy traffic. Traffic condition is the most important criterion ...
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