scholarly journals Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever

2022 ◽  
Vol 23 ◽  
Author(s):  
Harry Wooseuk Ryu ◽  
Joo Ho Tai
Keyword(s):  
Artificial Intelligence ◽  
Early Detection ◽  
Object Detection ◽  
High Performance ◽  
African Swine Fever ◽  
Depth Camera ◽  
Object Detection And Tracking ◽  
Detection And Tracking

A Robust and Efficient Video Moving Object Detection and Tracking Algorithm

2009 ◽  
Vol 35 (8) ◽  
pp. 1055-1062
Author(s):  
Shao-Hua LIU ◽  
Mao-Jun ZHANG ◽  
Zhi-Hui XIONG ◽  
Wang CHEN
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Tracking Algorithm ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Efficient Video

scholarly journals The INUS Platform: A Modular Solution for Object Detection and Tracking from UAVs and Terrestrial Surveillance Assets

Computation ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 12
Author(s):  
Evangelos Maltezos ◽  
Athanasios Douklias ◽  
Aris Dadoukis ◽  
Fay Misichroni ◽  
Lazaros Karagiannidis ◽  
...  
Keyword(s):  
Decision Making ◽  
Object Detection ◽  
Situational Awareness ◽  
Machine Learning Techniques ◽  
Measurement Instruments ◽  
Time Data ◽  
Modular Architecture ◽  
Seamless Integration ◽  
Object Detection And Tracking ◽  
Detection And Tracking

Situational awareness is a critical aspect of the decision-making process in emergency response and civil protection and requires the availability of up-to-date information on the current situation. In this context, the related research should not only encompass developing innovative single solutions for (real-time) data collection, but also on the aspect of transforming data into information so that the latter can be considered as a basis for action and decision making. Unmanned systems (UxV) as data acquisition platforms and autonomous or semi-autonomous measurement instruments have become attractive for many applications in emergency operations. This paper proposes a multipurpose situational awareness platform by exploiting advanced on-board processing capabilities and efficient computer vision, image processing, and machine learning techniques. The main pillars of the proposed platform are: (1) a modular architecture that exploits unmanned aerial vehicle (UAV) and terrestrial assets; (2) deployment of on-board data capturing and processing; (3) provision of geolocalized object detection and tracking events; and (4) a user-friendly operational interface for standalone deployment and seamless integration with external systems. Experimental results are provided using RGB and thermal video datasets and applying novel object detection and tracking algorithms. The results show the utility and the potential of the proposed platform, and future directions for extension and optimization are presented.

Moving object detection and tracking based on improved Surendra background updating algorithm

2011 ◽  
Author(s):  
Cheng-liang Wang ◽  
Liang-liang Jia ◽  
Juan-juan Chen
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Background Updating

On-Road Object Detection and Tracking Based On Radar and Vision Fusion: A Review

2021 ◽  
pp. 2-27
Author(s):  
Xiaolin Tang ◽  
Zhiqiang Zhang ◽  
Yechen Qin
Keyword(s):  
Object Detection ◽  
Object Detection And Tracking ◽  
Detection And Tracking
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