[PDF][PDF] Particle swarm optimization with deep learning for human action recognition

UA Usmani, J Watada, J Jaafar, IA Aziz… - Int. J. Innovative Comput …, 2021 - ijicic.org
Motion target detection and tracking are among the most important computer vision areas
that use advanced image processing techniques. To accomplish the purpose of tracking a …

How fast is your body motion? Determining a sufficient frame rate for an optical motion tracking system using passive markers

MH Song, RI Godøy - PloS one, 2016 - journals.plos.org
This paper addresses how to determine a sufficient frame (sampling) rate for an optical
motion tracking system using passive reflective markers. When using passive markers for …

Localization using extended Kalman filters in wireless sensor networks

A Shareef, Y Zhu, VM Moreno… - Kalman Filter Recent …, 2009 - books.google.com
Localization arises repeatedly in many location-aware applications such as navigation,
autonomous robotic movement, and asset tracking. Analytical localization methods include …

[BOK][B] Nonlinear Gaussian Filtering: Theory, Algorithms, and Applications

M Huber - 2015 - books.google.com
By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be
transformed into an algebraically simple form, which allows for computationally efficient …

Localization improvement in wireless sensor networks using a new statistical channel model

AK Alavijeh, MH Ramezani, AK Alavijeh - Sensors and Actuators A …, 2018 - Elsevier
In this paper, a statistical channel model is proposed based on the second moment of
Received Signal Strength Indicator (RSSI) in an outdoor communication channel. The …

On the fusion of inertial data for signal strength localization

J Schmid, T Gädeke, W Stork… - 2011 8th Workshop on …, 2011 - ieeexplore.ieee.org
Localization in wireless sensor networks (WSN) based on the evaluation of received signal
strength (RSS) values of communication packets has received a considerable amount of …

[PDF][PDF] Comparison of MLP neural network and kalman filter for localization in wireless sensor networks

A Shareef, Y Zhu, M Musavi, B Shen - Proceedings of the 19th …, 2007 - researchgate.net
Localization with noisy distance measurements is a critical problem in many applications of
wireless sensor networks. Different localization algorithms offer different tradeoffs between …

Online control of active camera networks for computer vision tasks

A Ilie, G Welch - ACM Transactions on Sensor Networks (TOSN), 2014 - dl.acm.org
Large networks of cameras have been increasingly employed to capture dynamic events for
tasks such as surveillance and training. When using active cameras to capture events …

[PDF][PDF] Video tracking system: A survey

Z Musa, J Watada - An international journal of research and …, 2008 - kuma.u-tokai.ac.jp
A video tracking system raises a wide possibility in today's society. This system is used in
various applications such as security, monitoring, robotic, and nowadays in day-to-day …

[BOK][B] Hardware design optimization for human motion tracking systems

BD Allen - 2007 - search.proquest.com
A key component of any interactive computer graphics application is the system for tracking
user or input device motion. An accurate estimate of the position and/or orientation of the …