Background-modelling techniques for foreground detection and Tracking using Gaussian Mixture Model

Meghana, R K; Chitkara, Yojan; Mohana, Apoorva S

doi:10.1109/iccmc.2019.8819825

Cited by 24 publications

(5 citation statements)

References 15 publications

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“…According to Meghana et al [14], to find and determine the trajectories of players on the field, monitoring techniques such as Kalman and extended Kalman filters may be utilized. One hundred percent accuracy rates have been achieved by implementing the object detection, motion detection, and Kalman filter algorithms.…”

Section: Literature Surveymentioning

confidence: 99%

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Design and Implementation of Intelligent Analysis Technology in Sports Video Target and Trajectory Tracking Algorithm

Yang

Wang

2022

Wireless Communications and Mobile Computing

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The object tracking is an important task to future generations to find accurate information from frame (sports or any cctv). The available models like RFO, DT, Xboosting, Gradient boosting, and CNN are outdated for sports video tracking using video. The target and trajectory finding are very important for accurate tracking. Therefore, for crossover, the above limitation’s intelligence analysis is performed with ANN. The video tracking can be very simple and efficient with proposed model. As a result, this ANN offers a sports camera target detection system based on an upgraded grey neural network. This research uses the automatic threshold technique to divide the target object of sports camera and derive the designated target of sports video based on the pixel grey difference of the target image in sports video. The moving objects are tracked by the object tracking algorithm, and features are extracted to obtain the results. The performance measures like accuracy of 95.23%, sensitivity of 94.45%, and recall of 93.34% had been attained.

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Section: Literature Surveymentioning

confidence: 99%

“…One hundred percent accuracy rates have been achieved by implementing the object detection, motion detection, and Kalman filter algorithms. Detection accuracy and tracking accuracy are reduced when players are crowded together and occluded, according to results quantification and performance monitoring [14].…”

Section: Literature Surveymentioning

confidence: 99%

Design and Implementation of Intelligent Analysis Technology in Sports Video Target and Trajectory Tracking Algorithm

Yang

Wang

2022

Wireless Communications and Mobile Computing

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“…Extended Kalman Filter, 1. Tracking of Moving Vehicle with Kalman Filtering: to better frame the theme of 𝐾𝐹, is shown in (Meghana et al, 2019;Mouzinho, 2007; the use of these filters in tracking moving vehicle in real systems.…”

Section: Extended Kalman Filter (Ekf)mentioning

confidence: 99%

High Sensitivity Envelope Detector Assisted by Microwave Photonics

Gonçalves¹,

Ivo²,

Coutinho³

2022

Smart Systems: Theory and Advances

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Theory and Advances is licensed under CC BY 4.0.This license requires that reuses give credit to the creator. It allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, even for commercial purposes.The content of the work and its data in its form, correctness and reliability are the sole responsibility of the authors, and do not represent the official position of Amplla Publishing. Downloading and sharing of the work is permitted as long as credit is given to the authors. All rights to this edition were ceded to Editora Amplla.

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“…Some examples of natural environments are forests, lakes, rivers, oceans and glaciers that require active human intervention to protect biodiversity in terms of fauna and flora [34], [35]. 4) Visual hull computation object motion detection is currently being used in many sports (such as Football, Tennis and Athletics) to perform athletes movements analysis [36], [37]. 5) Human-machine interface (HMI) gesture recognition enables users to interact with machines.…”

Section: Background Researchmentioning

confidence: 99%