Data-driven model for human tracking and prediction using Kalman filter with particle swarm optimization
Intelligent monitoring systems have evolved due to technological improvement and innovation in biometric identification technology and protecting lives and property. As a result, intelligent monitoring systems are becoming increasingly prevalent. Consequently, this paper proposes the development of...
محفوظ في:
المؤلفون الرئيسيون: | Ajasa, Abiodun Afis, Nawawi, Sophan Wahyudi |
---|---|
التنسيق: | Book Section |
منشور في: |
Springer Science and Business Media Deutschland GmbH
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/100724/ http://dx.doi.org/10.1007/978-981-19-3923-5_41 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Data-driven model for human tracking and prediction using Kalman filter with particle swarm optimization
بواسطة: Ajasa, Abiodun Afis, وآخرون
منشور في: (2022) -
Performance comparison of Kalman Filter and extended kalman filter for human tracking and prediction with particle swarm optimisation
بواسطة: Ajasa, Abiodun Afis, وآخرون
منشور في: (2023) -
Design and development of IoT-based tracking for humans using Arduino
بواسطة: Ajasa, Abiodun Afis, وآخرون
منشور في: (2021) -
Design and development IoT's-based tracking for humans using Adruino
بواسطة: Ajasa, Abiodun Afis, وآخرون
منشور في: (2021) -
A data-driven Kalman filter-PID controller for fibrous capillary irrigation
بواسطة: Abioye, Emmanuel Abiodun, وآخرون
منشور في: (2023)