Performance evaluation of fuzzy 2-partition entropy and big bang big crunch optimization based object detection and tracking approach

2017 ◽  
Vol 29 (4) ◽  
pp. 1579-1611 ◽  
Author(s):  
Manisha Kaushal ◽  
Baljit Singh Khehra ◽  
Akashdeep
Keyword(s):  
Performance Evaluation ◽  
Object Detection ◽  
Big Bang ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Big Crunch

Performance Evaluation of Object Detection and Tracking in Video

2006 ◽  
pp. 151-161 ◽  
Author(s):  
Vasant Manohar ◽  
Padmanabhan Soundararajan ◽  
Harish Raju ◽  
Dmitry Goldgof ◽  
Rangachar Kasturi ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Object Detection ◽  
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.

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