scholarly journals Decentralized task assignment in camera networks

2010 ◽  
Author(s):  
Angelo Cenedese ◽  
Federico Cerruti ◽  
Mirko Fabbro ◽  
Chiara Masiero ◽  
Luca Schenato
Keyword(s):  
Task Assignment ◽  
Camera Networks

Occlusion handling framework for tracking in smart camera networks by per-target assistance task assignment

2017 ◽  
Vol 26 (5) ◽  
pp. 051407
Author(s):  
Nyan Bo Bo ◽  
Francis Deboeverie ◽  
Peter Veelaert ◽  
Wilfried Philips
Keyword(s):  
Task Assignment ◽  
Camera Networks ◽  
Smart Camera ◽  
Occlusion Handling ◽  
Smart Camera Networks

Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments

2018 ◽  
Vol 12 (1) ◽  
pp. 173-183 ◽  
Author(s):  
Samer Hanoun ◽  
Asim Bhatti ◽  
Doug Creighton ◽  
Saeid Nahavandi ◽  
Phillip Crothers ◽  
...  
Keyword(s):  
Task Assignment ◽  
Camera Networks ◽  
Manufacturing Environments

SVM-based global vision system of sports competition and action recognition

2020 ◽  
pp. 1-12
Author(s):  
Changxin Sun ◽  
Di Ma
Keyword(s):  
Target Recognition ◽  
Vision System ◽  
Task Assignment ◽  
Recognition Algorithm ◽  
Control Factor ◽  
Training Time ◽  
Adaboost Algorithm ◽  
Advantages And Disadvantages ◽  
Time Control ◽  
Correlation Degree

In the research of intelligent sports vision systems, the stability and accuracy of vision system target recognition, the reasonable effectiveness of task assignment, and the advantages and disadvantages of path planning are the key factors for the vision system to successfully perform tasks. Aiming at the problem of target recognition errors caused by uneven brightness and mutations in sports competition, a dynamic template mechanism is proposed. In the target recognition algorithm, the correlation degree of data feature changes is fully considered, and the time control factor is introduced when using SVM for classification,At the same time, this study uses an unsupervised clustering method to design a classification strategy to achieve rapid target discrimination when the environmental brightness changes, which improves the accuracy of recognition. In addition, the Adaboost algorithm is selected as the machine learning method, and the algorithm is optimized from the aspects of fast feature selection and double threshold decision, which effectively improves the training time of the classifier. Finally, for complex human poses and partially occluded human targets, this paper proposes to express the entire human body through multiple parts. The experimental results show that this method can be used to detect sports players with multiple poses and partial occlusions in complex backgrounds and provides an effective technical means for detecting sports competition action characteristics in complex backgrounds.

An Approach to Optimal Task Assignment in a Distributed System

2004 ◽  
Vol 36 (10) ◽  
pp. 51-55 ◽  
Author(s):  
Rasim Magamed ogly Alguliev ◽  
Ramiz Magamed ogly Aliguliev ◽  
Rashid Kurbanali ogly Alekperov
Keyword(s):  
Distributed System ◽  
Task Assignment
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