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Hongdan Liu, Yan Liu, Bing Li and Zhigang Qi
Ship abnormal behavior detection is an essential part of maritime supervision. It can assist maritime departments to conduct real-time supervision on a certain sea area, avoid ship risks, and improve the efficiency of sea area supervision. Given the prob...
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Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti...
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Yihao Li and Ping Yi
The work can be applied to commodities, equities, e-commerce, and social networking platforms to detect anomalies in each user?s account to provide timely notification and thus reduce losses.
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Fan Zhang, Baoxin Yuan, Liang Huang, Yuanqiao Wen, Xue Yang, Rongxin Song and Pieter van Gelder
Accurate fishing activity detection from the trajectories of fishing vessels can not only achieve high-precision fishery management but also ensure the reasonable and sustainable development of marine fishery resources. This paper proposes a new method t...
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Ganjar Alfian, Muhammad Qois Huzyan Octava, Farhan Mufti Hilmy, Rachma Aurya Nurhaliza, Yuris Mulya Saputra, Divi Galih Prasetyo Putri, Firma Syahrian, Norma Latif Fitriyani, Fransiskus Tatas Dwi Atmaji, Umar Farooq, Dat Tien Nguyen and Muhammad Syafrudin
Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer?customer relationship and increasing business revenue. However, it can be challenging to gather data on customer browsing activities in physical stores as compare...
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Zouheir Trabelsi, Fady Alnajjar, Medha Mohan Ambali Parambil, Munkhjargal Gochoo and Luqman Ali
Effective classroom instruction requires monitoring student participation and interaction during class, identifying cues to simulate their attention. The ability of teachers to analyze and evaluate students? classroom behavior is becoming a crucial crite...
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Longhui Yu, Yuhai Pu, Honglei Cen, Jingbin Li, Shuangyin Liu, Jing Nie, Jianbing Ge, Linze Lv, Yali Li, Yalei Xu, Jianjun Guo, Hangxing Zhao and Kang Wang
We propose a lightweight neural network-based method to detect the estrus behavior of ewes. Our suggested method is mainly proposed to solve the problem of not being able to detect ewe estrus behavior in a timely and accurate manner in large-scale meat s...
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Rong Wang, Zongzhi Gao, Qifeng Li, Chunjiang Zhao, Ronghua Gao, Hongming Zhang, Shuqin Li and Lu Feng
Natural breeding scenes have the characteristics of a large number of cows, complex lighting, and a complex background environment, which presents great difficulties for the detection of dairy cow estrus behavior. However, the existing research on cow es...
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Hengyi Ji, Jionghua Yu, Fengdan Lao, Yanrong Zhuang, Yanbin Wen and Guanghui Teng
The accurate and rapid detection of objects in videos facilitates the identification of abnormal behaviors in pigs and the introduction of preventive measures to reduce morbidity. In addition, accurate and effective pig detection algorithms provide a bas...
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Viera Maslej-Kre?náková, Martin Sarnovský and Júlia Jacková
The work presented in this paper focuses on the use of data augmentation techniques applied in the domain of the detection of antisocial behavior. Data augmentation is a frequently used approach to overcome issues related to the lack of data or problems ...
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Jacqueline Michel and Philip Bambach
Based on past spills, the conditions under which floating oil mixes with enough sand to form sunken oil mats (SOMs) are identified. SOMs form mostly during spills of heavy crudes or heavy fuel oils, but also highly weathered and viscous crude oils. They ...
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Shibiao Fang, Lin Mu, Kuan Liu and Darong Liu
In computer vision, pollutant detection is a highly concerning issue, and it has been widely used in the fields of pollutant identification, tracking, and precise positioning. In the ocean, oil tends to disperse into the water column as droplets under br...
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Fumin Wu, Qianqian Chen, Yuanqiao Wen, Changshi Xiao and Feier Zeng
In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately. ...
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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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Longyu Tang, Tao Xie, Yunong Yang and Hong Wang
The detection of students? behaviors in classroom can provide a guideline for assessing the effectiveness of classroom teaching. This study proposes a classroom behavior detection algorithm using an improved object detection model (i.e., YOLOv5). First, ...
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Jinah Kim and Nammee Moon
Although various studies on monitoring dog behavior have been conducted, methods that can minimize or compensate data noise are required. This paper proposes multimodal data-based dog behavior recognition that fuses video and sensor data using a camera a...
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Junyi Cheng, Xianfeng Zhang, Xiao Chen, Miao Ren, Jie Huang and Peng Luo
Early detection of people?s suspicious behaviors can aid in the prevention of crimes and make the community safer. Existing methods that are focused on identifying abnormal behaviors from video surveillance that are based on computer vision, which are mo...
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Eman O. Eldawy, Abdeltawab Hendawi, Mohammed Abdalla and Hoda M. O. Mokhtar
Taxicabs and rideshare cars nowadays are equipped with GPS devices that enable capturing a large volume of traces. These GPS traces represent the moving behavior of the car drivers. Indeed, the real-time discovery of fraud drivers earlier is a demand for...
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Magdalena Mazur-Milecka, Jacek Ruminski, Wojciech Glac and Natalia Glowacka
Automation of complex social behavior analysis of experimental animals would allow for faster, more accurate and reliable research results in many biological, pharmacological, and medical fields. However, there are behaviors that are not only difficult t...
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Dohun Kim, Heegwang Kim, Yeongheon Mok and Joonki Paik
In spite of excellent performance of deep learning-based computer vision algorithms, they are not suitable for real-time surveillance to detect abnormal behavior because of very high computational complexity. In this paper, we propose a real-time surveil...
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