Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images
Autor:
Jalal, Ahmad
; Kamal, Shaharyar
Fecha:
06/2019Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://www.ijimai.org/journal/bibcite/reference/2683Resumen:
Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. In this paper, we designed a system that precisely classifies the nature of 3D body postures obtained by Kinect using an advanced recognizer. We proposed novel features that are suitable for depth data. These features are robust to noise, invariant to translation and scaling, and capable of monitoring fast human bodyparts movements. Lastly, advanced hidden Markov model is used to recognize different activities. In the extensive experiments, we have seen that our system consistently outperforms over three depth-based behavior datasets, i.e., IM-DailyDepthActivity, MSRDailyActivity3D and MSRAction3D in both posture classification and behavior recognition. Moreover, our system handles subject's body parts rotation, self-occlusion and body parts missing which significantly track complex activities and improve recognition rate. Due to easy accessible, low-cost and friendly deployment process of depth camera, the proposed system can be applied over various consumer-applications including patient-monitoring system, automatic video surveillance, smart homes/offices and 3D games.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
54 |
90 |
80 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
86 |
48 |
41 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Fast hybrid-MixNet for security and privacy using NTRU algorithm
Ahmad, Khaleel; Kamal, Afsar; Bin Ahmad, Khairol Amali; Khari, Manju; González-Crespo, Rubén (Journal of information security and applications, 2021)Security and privacy-enhancing techniques are developed in order to provide strong protection over the Internet. These techniques aim to enable the users to keep their identities secret during the communication when they ... -
A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems
Jalal, Ahmad; Kamal, Shaharyar; Kim, Daijin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)Increase in number of elderly people who are living independently needs especial care in the form of healthcare monitoring systems. Recent advancements in depth video technologies have made human activity recognition (HAR) ... -
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...